Total 86 job vacancies by Hyperscal Solutions Pte. Ltd.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The Research Engineer will be responsible for hands-on and implementation tasks to support the PERFLEXO research project. His/her core responsibilities are:

• Take over from the previous Research Engineer the building of "wrappers" for scientific code into publicly usable packages so that PERFLEXO algorithms can be freely/easily used and tested by the industry and the academic community
• Perform dataset preparation, code execution, performance recording and preliminary technical writing to support the PI's basic research under this project, especially with regards to the ACM TODS submission/revision.

• Minimum a 4-year Bachelor degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher education
• A thesis must have been completed (e.g., Bachelor's thesis) since this is a research post and thus some basic prior experience of working in a concrete research project of non-trivial scale (such as in a thesis) would be needed
• Knowledge of C, Java and MATLAB programming languages
• Some prior experience of working in a concrete research project of non-trivial scale (such as in a Bachelor thesis)
• Good analytical, technical and problem-solving skills
• Self-motivation, ability to work independently and also collaboratively with team members

#Li-JN2

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Implement projects within their emplaced practice to ensure service delivery and support to meet the intended availability, continuity and capacity requirements.
• Translate business requirement into infrastructure design.
• Work with service providers to design, develop, deploy and configure infrastructure to meet resiliency, availability and data integrity needs.
• Ensure compliance to Authority's Technical Architecture and SG-TRM, as well as IM8 and Authority IT Policies. • Manage Infrastructure projects and services to support application systems environments. • Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP. • Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).
• Understand systems operations environment is expected.
• Manage Infrastructure projects and services to support application systems environments.
• Request to provision new VMs for new systems.
• Manage system architecture, resource planning, infrastructure performance and system hosting environment from server hardware till OS layer (Excluding hypervisor and Storage) in support of new applications.
• Main infrastructure single-point-of contact for all new application system initiatives and to support/assist in application architecture design, integration and acceptance and infrastructure performance testing.
• Handover Infrastructure and Systems standard operating procedures and day-to-day performance/availability monitoring to Operations Engineer upon commissioning and completion of PGP.
• Support Operations Engineer on Infrastructure and Systems.
• Assist in Infrastructure Architecture review, support and endorsement Review Hardening standards for OS, database.
• Hosting environment infrastructure on-boarding (design, setup, configuration, implementation, testing and commissioning of infrastructure components).

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 5 years of experience in relevant fields such as delivering Enterprise Data Science and / or Big Data Platforms on AWS (Preferred) or On-Premise (Good to have).
• Hands-on experience with Linux RHEL (Preferred), Windows (Good to have), OS virtualisation technologies (Good to have), SAN storage (Good to have) and/or databases (Added advantage).
• Ability to take a broad, strategic perspective as well as drill deep to understand business needs and challenges.
• Ability to analyse and identify comprehensive solutions considering all functional implications while developing a workable solution.
• Hands-on experience in in developing DevSecOps and MLOps pipelines, either on Cloud (Preferred) or On Premise (Good to have) would be an added advantage.
• Knowledge with database technologies such as Microsoft SQL Server and MySQL. Working experience with both structured and unstructured data sets would be an added advantage.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Integrated Information Technology Services (IITS).
• Efficient Data Ingestion Jobs
• Achieve reliable, efficient data ingestion by designing and implementing automated pipelines that bring data from multiple sources into the SMU Data Platform, adhering to SMU's data engineering standards, data management guidelines, and data governance policies.
• Integrated and Actionable Data Assets
• Ensure consistency and accuracy across datasets by cleansing, transforming, and standardizing data according to business rules and common reference codes.
• Establish data quality checks and validation, maintain high standards of data accuracy, compliance, and timeliness, remodel data structure to be analytics-friendly to support trustworthy reporting and insights generation.
• Report Development and Maintenance
• Fulfill business needs through the development and maintenance of reports, translating requirements into effective data visualizations that align with analytics objectives.
• Platform Monitoring & Optimization
• Ensure the stability and efficiency of the SMU Data Platform by continuously monitoring platform health, resolving issues promptly, and optimizing workflows to maintain timely and accessible data.
• Production Support
• Maintain uninterrupted data access by monitoring and supporting production ETL jobs and reports. Address and resolve data pipeline and report issues, ensuring updated data availability and process efficiency.
• Documentation & Knowledge Sharing
• Support team alignment and knowledge retention by creating and maintaining detailed documentation of data engineering processes and report design, promoting standards, and fostering a culture of shared best practices.
• Continuous Improvement
  • Contribute to process improvements by identifying opportunities for automation and standardization, reducing manual intervention, and enhancing data pipeline efficiency across the SMU Data Platform.

• Degree / Diploma in Computer Science, IT or related discipline.
• Minimum of 7 years in data engineering or relevant IT experience.
• Advanced skills in data engineering coding and principles, with expertise in designing scalable, reusable, maintainable high-quality data pipelines.
• Skilled in designing and implementing orchestration pipelines using Python, Spark, SQL, and related tools.
• Ability to write clean, efficient code from scratch, establishing core processes for data engineering within the team.
• Strong understanding of data warehousing, including dimensional modeling, data lakehouse concepts, data mesh, and visualization frameworks.
• Experience developing data pipelines using Spark, with hand-on experience in Databricks preferred.
• Experience developing visual reports, with hands-on experience in Power BI preferred.
• Proficiency in data cloud platforms, preferably Microsoft Azure, Databricks.
• Proficient with tools like Git for version control, e.g.: Azure DevOps, GitHub.
• Familiarity with DevOps, CI/CD processes, and automation practices is a plus.
• Results-oriented, with a strong focus on both quality and efficiency.
• Proactive, positive problem-solver with a proactive attitude.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• To apply machine learning techniques to improve the accuracy of the inferencing system
• To select and analyze specific Android brand/model on their compatibility with the side-channel inferencing system
• To evaluate the performance overhead and accuracy of the inferencing system prototype

• Bachelor or Master Degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or related disciplines
• Project experience in machine learning or Android security is a plus
• Good communication skills in English
• Advanced level of programming and software implementation, especially in C/C++ and Java
• Good understanding of existing machine learning techniques
• Good understanding of Android architecture and Android executables
• Good analytical, technical, and problem-solving skills
• Self-motivated and willing to work in a term

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting research on learning to optimize research project. Successful candidate will be part of an active research team led by Assistant Prof MA Dong from School of Computing and Information Systems, Singapore Management University.

• Literature review
• Developing graph neural network and reinforcement learning assisted optimization algorithm
• Benchmarking with traditional optimization algorithm
• Real-world dataset collecting and testing
• Data analysis and evaluation
• Publishing academic papers

• Minimum Bachelor's/Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Minimum one year of relevant research experience in machine learning
• Basic knowledge/Proficiency in programming software/languages such as Python will be positively considered/ is required
• Demonstrated experience and know-how on solving optimization problem
• Experience with at least one programming software/languages, such as Pytorch or Tensorflow is preferred
• Excellent working knowledge of machine learning including graph neural network and reinforcement learning
• Good analytical, technical and problem solving skills
• Applicants with research publications in machine learning will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Infrastructure Management
  • Architect, design, and implement cloud-based solutions that align with both business objectives and technical requirements.
  • Collaborate with development and operations teams to seamlessly integrate cloud solutions.
  • Implement Infrastructure as Code (IaC) methodologies to automate and streamline the deployment and management of cloud resources.
  • Continuously optimize cloud infrastructure for performance and cost-efficiency.
  • Monitor and analyze cloud performance, making proactive adjustments as needed.
  • Provide technical leadership and mentorship to engineering teams on cloud architecture and best practices.
  • Stay abreast of emerging trends and technologies in cloud computing.
  • Recommend appropriate cloud services based on project requirements.
  • Ensure compliance with security standards, regulatory requirements, and best practices in cloud security.
  • Conduct regular security audits and assessments.
  • Manage vendor relationships with cloud service providers and technology vendors, stay updated with vendor offerings, and negotiate contracts.
  • Act as a subject matter expert on cloud architecture, participate in technical discussions and provide guidance to stakeholders.
  • Provide mentorship, training, and hands-on support to help teams develop necessary skills and expertise.
  • Plan, implement, and maintain SMU's enterprise and research infrastructure (HPC), including private and public cloud computing, as well as all relevant research hardware to meet SMU's diverse research computing needs.
  • Plan, formulate, and architect the growth of research infrastructure (HPC) to cater to the needs of SMU researchers, enhancing faculty productivity in research.
  • Manage and administer of CMDB system to ensure the completeness and currency of asset information.
  • Develop, maintain, and execute system operation procedures (e.g., IT Disaster Recovery) to improve service availability, reliability, and redundancy.
• Consultancy and Support
  • Collaborate with business units to gain a better understanding of their goals, technical requirements, and current infrastructure.
  • Develop tailored cloud solutions that align with business requirements, focusing on scalability, reliability, security, and cost-effectiveness.
  • Provide support to business units in their Cloud project initiatives.
  • Troubleshoot issues, resolve technical challenges, and deliver ongoing support after post-implementation.
  • Conduct induction programs to raise awareness of cloud computing and research platforms within the SMU community. Develop presentations, documentation, and user guides for individuals utilizing cloud computing services and High-Performance Computing Clusters (HPCC).
• Projects
  • Manage IT projects for existing system enhancement and new system implementation.
  • Establish project plans, milestones, and deliverables.
  • Monitor project progress and review project performance against key metrics.
  • Maintain a risk tracker and mitigation plan.
  • Provide status updates and reports on project progress.
  • Provide leadership and motivation to the project team.
  • Manage expectations and address concerns proactively.
  • Ensure the project is kept within the project scope, budget, and timeline.
  • Maintain comprehensive project documentation throughout the project life cycle.

• Bachelor's degree or diploma in Computer Science, Computer Engineering, IT or equivalent from an established Institution
• Relevant Cloud platform certifications (e.g. AWS Certified Solution Architect, Azure Solutions Architect Expert) are a plus.
• Relevant Linux System Administration certifications (e.g. Red Hat Certified System Administrator) are a plus.
• At least 5 years of work experience with Cloud platforms such as AWS and Azure Cloud.
• Proficient in Cloud computing concepts, architectures, and service models (IaaS, PaaS, SaaS);
• Cloud platforms such as AWS, Azure, or Google Cloud Platform, including their services and features;
• Networking fundamentals, including TCP/IP, DNS, VPN, and routing in cloud environments;
• Cloud security principles, encryption, identity and access management (IAM), and compliance requirements;
• Cloud platform monitoring, logging, and alerting tools to ensure the performance and reliability of cloud resources;
• Infrastructure provisioning and management tools like Terraform and CloudFormation.
• Working knowledge of DevOps methodologies, continuous integration/continuous deployment (CI/CD), and automation tools;
• Containerization technologies such as Docker and container orchestration platforms like Kubernetes;
• Cloud-based storage solutions, databases, and data analytics platforms.
• Proficient in performing Linux server cluster administration;
• Scripting languages, including Python and Bash, with the ability to automate tasks and enhance workflow efficiency;
• ServiceNow CMDB administration.
• Working knowledge of ISO27001 information security standards, regulatory compliance, and best practices for Cloud governance.
• Strong technical, analytical, and troubleshooting skills, with confidence in delivering frontline support and expertise across diverse academic disciplines and areas.
• Exceptional written and verbal communication skills, with a keen attention to detail and strong decision-making abilities.
• Good interpersonal and customer servicing skills.
• Enthusiastic and motivated team player.
• Independent, proactive, positive attitude, and a keen interest in exploring the areas of emerging Cloud technologies.

#LI-ST1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Develop end to end automated integration, verification and continuous integration system
• Develop, maintain and enhance automated test framework, tools and unit tests
• Work with software engineers and bioinformatics scientists to understand analysis algorithms and architect & develop automated test solution(s)
• Partner with software verification engineers to test applications manually as needed
• Prepare necessary test artifacts required for formal software / product release
• Participate in code and design Reviews
• Collaborate with peers to identify opportunities for process improvement
• Work collaboratively and effectively in an agile and very fast paced environment
• Collaborate with DevOps to design and manage an automated, computational infrastructure supporting experimentation and research
• Deploy and monitor software releases

• Bachelor of Degree in in Computer Science or related field
• At least 3 years of experience in software test development experience with programming or scripting language (Python preferred)
• Experience in architecting end-to-end automated test suite for API, desktop, web apps and experience with test frameworks such as pytest, Playwright, or similar
• Experience writing verification plans, test cases, defects reports, executing & managing test cases using test cases management system and writing verification reports
• Experience working with databases such as MySQL or PostgreSQL, cloud computing such as Amazon Web Services and Docker/Kubernetes
• Experience with CI/CD, Continuous Testing, and related tools such as TeamCity, GitHub Actions
• Experience deploying web applications
• Strong understanding of SDLC processes
• Be curious, detail oriented, and analytical, with a proven ability to learn quickly
• Be customer-focused, team-oriented, and motivated, taking ownership of assigned tasks
• Have proven ability to self-manage, as well as manage interdisciplinary relationships

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Curation of SEA food datasets including samples images and recipes
• Training of the model with food datasets
• Experiment setup for user studies

• Minimum bachelor's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Good knowledge in AI and generative AI
• Good skill in computer programming
• Good knowledge in dataset curation, including web crawling of images and recipes, data cleaning and preparation of dataset for deep learning
• Knowing at least one of the following Southeast Asia languages: Malay, Tamil, Indonesian, Thailand, Vietnamese, Filipino, Burmese.
• Self-motivated individual who can work independently as well as collaboratively in a team to engineer challenging problems

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Curation of SEA food datasets including samples images and recipes
• Training of the model with food datasets
• Experiment setup for user studies

• Minimum bachelor's degree in computer science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Good knowledge in AI and generative AI
• Good skill in computer programming
• Good knowledge in dataset curation, including web crawling of images and recipes, data cleaning and preparation of dataset for deep learning
• Knowing at least two popular Southeast Asia languages (e.g., English, Chinese, Malay, Tamil, Thailand, Vietnamese). Candidate knowing more than two languages are highly preferred.
• Self-motivated individual who can work independently as well as collaboratively in a team to engineer challenging problems

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Design and implement AI for software engineering solutions
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools
• Write and publish research papers and present them to reputable academic conferences
• Package the documents, implementation code, evaluation results of the project for release
• Liaise with other team members of this project to realize the overall goal of the project

• Minimum Master Degree in Software Engineering/Computer Science/Computer Technology/ Information Systems from a top-tier or local university
• Minimum 1 year of relevant research experience in software engineering
• Excellent knowledge about software engineering research
• Excellent knowledge about AI• Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Design and implement AI for software engineering solutions
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools
• Write and publish research papers and present them to reputable academic conferences
• Package the documents, implementation code, evaluation results of the project for release
• Liaise with other team members of this project to realize the overall goal of the project

• Excellent Bachelor Degree in Software Engineering/Computer Science/Information Systems from a top-tier or local university. A Master Degree will be preferred
• Research experience in AI or Software Engineering, resulting in at least one submission/publication in a reputable research venue
• Excellent knowledge about AI
• Highly fluent in programming
• Competent in designing and implementing algorithms and data structures
• Excellent oral and written communication skills
• Excellent analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members
• Able to work under strict deadlines

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Code development.
• Database management.
• Data analysis and visualizationd.
• Experiment design and implementation.
• Software documentation.
• Meeting arrangementg.
• Presentation.
• Report writing.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Relevant research experience is preferred.
• Proficiency in programming in Python and related packages.
• Knowledge in large language models, databases (including SQL), NLP, and machine learning.
• Experience with research works is preferred.
• Good analytical, technical and problem-solving skills.
• Applicants with research publications in AI or NLP area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

The first set of tasks will involve the following specific assignments:

• Expressing decision logic using DMN/FEEL
• Evaluating the rule engine API
• Encoding existing materials in L4 for open source distribution
• Building interactive UIs using HTML, CSS, JavaScript and Python

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts andpresentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematicallogic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modelingsoftware, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack",in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally andexternally.

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods. Fluency in multiple natural languages, and any experience with law, are a plus.

This specialist role requires skills in the following areas (one or two in each category is sufficient):

Open-Source Software & Open-Standard Infrastructure Engineering Internet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Programming Languages and Frameworks: Preferred: Haskell or OCaml. Python. Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Semantic Web and Ontologies: RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg or a commercial rules engine with ontology support

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams Parnas Tables Logics: Hoare

Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, and Epistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI Abductive Logic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded Semantics Good Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Drools Oracle Policy Manager Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Skills listed below this line are preferred but not required:

Theorem Proving and Strongly Typed Languages: CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs, Visual Studio Code, Atom, Sublime Text) Language Server Protocol Rule Systems and Logics

Computational Linguistics Natural Language Generation Computational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Text planning Surface realization Familiarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Parsers, Compilers, and Programming Language Theory Lex/YACC alex/happy Bison CFGs EBNF BNFC

Formal Verification and Specification Languages Some familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL CTL

App Development Test-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum Pair Programming Literate Programming Unit Testing Amazon Web Services Docker Full-Stack Development

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts andpresentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematicallogic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack",in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods. Fluency in multiple natural languages, and any experience with law, are a plus.

This specialist role requires skills in the following areas (one or two in each category is sufficient):

Open-Source Software & Open-Standard Infrastructure Engineering Internet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Programming Languages and Frameworks: Preferred: Haskell or OCaml. Python. Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Semantic Web and Ontologies: RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg or a commercial rules engine with ontology support

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams Parnas Tables Logics: Hoare

Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, and Epistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI Abductive Logic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded Semantics Good Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Drools Oracle Policy Manager Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Skills listed below this line are preferred but not required:

Theorem Proving and Strongly Typed Languages: CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs, Visual Studio Code, Atom, Sublime Text) Language Server Protocol Rule Systems and Logics

Computational Linguistics Natural Language Generation Computational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Text planning Surface realization Familiarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Parsers, Compilers, and Programming Language Theory Lex/YACC alex/happy Bison CFGs EBNF BNFC

Formal Verification and Specification Languages Some familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL CTL

App Development Test-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum Pair Programming Literate Programming Unit Testing Amazon Web Services Docker Full-Stack Development

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances in computational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture
• reading (and updating/commenting, relevant) existing software documentation
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done
• writing (and presenting, if so decided by the PI) academic papers and materials for publication
• documenting in a sufficiently-detailed manner so as to share what you've learned

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries
• evaluating competing software systems for suitability
• building infrastructure to enable application development
• managing yourself, and managing fellow team members
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development
• writing documentation such as user/developer-facing manuals, tutorials
• delivering community support to users and customers
• preparing presentations to represent the project before external audiences
• writing actual user-facing applications throughout the "full stack"

in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, anddemonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., oralternative qualifications in computer science, software engineering, (symbolic) artificial intelligence,computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Semantic Web and Ontologies: RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg or a commercial rules engine with ontology support

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Drools Oracle Policy Manager Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Skills listed below this line are preferred but not required:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL CTL

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, and demonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., or alternative qualifications in computer science, software engineering, (symbolic) artificial intelligence, computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director.As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey yourdomain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manner as possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypesfor government and industry partners in the areas of computable contracts and "rules as code". Experience inrequirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multipleuse cases so that we can abstract across them and develop generalized, reusable infrastructure. We will workwith specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases.You will work as part of a team of research engineers, developers, and domain expertise and you will beexpected to actively participate in team meetings and text-based communications. You will be expected to beactive members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development;
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed;
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack", in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, and demonstrated practical experience producing and supporting high-quality open-source code throughcommunity engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., or alternative qualifications in computer science, software engineering, (symbolic) artificial intelligence, computational linguistics, or formal methods.

Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure EngineeringInternet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github TechnicalWriting Developer Relations and Evangelism

Parsers, Compilers, and Programming Language TheoryLex/YACC alex/happy Bison CFGs EBNF BNFC

App DevelopmentTest-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum PairProgramming Literate Programming Unit Testing Amazon Web Services Docker Full-StackDevelopment

Programming Languages and Frameworks:Preferred: Haskell or OCaml. Python.Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language GenerationComputational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Textplanning Surface realizationFamiliarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto ControlledEnglish ACErules

Formal Verification and Specification LanguagesSome familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:CoQ Agda Idris Lean Prover F* Advanced Haskell (Templateetc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs,Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML PetriNets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams ParnasTables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, andEpistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI AbductiveLogic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded SemanticsGood Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-SetProgramming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

Work done will be at the direction of the PI, and where relevant, the Industry Director and Centre Director. As the Programme is interdisciplinary and multidisciplinary by nature, you will be expected to convey your domain expertise and edify others (and vice versa) in as productive, constructive, and collaborative a manneras possible.

You may be asked to participate in the development of use cases and delivery of proof-of-concept prototypes for government and industry partners in the areas of computable contracts and "rules as code". Experience in requirements analysis and agile, iterative methodologies will be useful at this stage.The work of the team will be largely determined by these use cases and customers. We will work with multiple use cases so that we can abstract across them and develop generalized, reusable infrastructure. We will work with specific customers so we can build useful applications on top of that infrastructure.You will contribute to the design and development of open-source software written to serve those use cases. You will work as part of a team of research engineers, developers, and domain expertise and you will be expected to actively participate in team meetings and text-based communications. You will be expected to be active members of the applied research community, by validating and contributing to advances incomputational law.

You may be asked to conduct use-inspired research at the direction of the Principal Investigator. This includes

• reading academic papers, standards publications, and related material such as blog posts and presentations;
• coming up to speed in fields which may be new to you, such as computational linguistics, mathematical logic, programming language design, formal verification, and model-based architecture;
• reading (and updating/commenting, relevant) existing software documentation;
• creating presentations, video recordings, walkthroughs, etc. to document and explain research work done;
• writing (and presenting, if so decided by the PI) academic papers and materials for publication; and
• documenting in a sufficiently-detailed manner so as to share what you've learned.

You will be expected to participate in software development; this includes

• learning how to use third party tools, including editors, IDEs, databases, business process modeling software, programming languages, and libraries;
• evaluating competing software systems for suitability;
• building infrastructure to enable application development
• managing yourself, and managing fellow team members;
• engaging in product, project, and program management as needed
• reading books and consuming such other media forms about software development;
• writing documentation such as user/developer-facing manuals, tutorials;
• delivering community support to users and customers;
• preparing presentations to represent the project before external audiences; and
• writing actual user-facing applications throughout the "full stack",in each case, documenting, reporting, and/or presenting the same in clearly and efficiently, both internally and externally.

Researchers under the Programme should possess both mastery of their academic speciality, and demonstrated practical experience producing and supporting high-quality open-source code through community engagement across multiple media. Candidates must have Bachelor's, Master's, Ph.D., or alternative qualifications in computer science, software engineering, (symbolic) artificial intelligence, computational linguistics, or formal methods. Fluency in multiple natural languages, and any experience with law, are a plus.

Minimum qualifications:

Open-Source Software & Open-Standard Infrastructure Engineering

Internet Unix TCP/IP HTTP(S) XML JSON Schemas YAML Git Github Technical Writing Developer Relations and Evangelism

Parsers, Compilers, and Programming Language Theory

Lex/YACC alex/happy Bison CFGs EBNF BNFC

App Development

Test-Driven Development Continuous Integration Software Project Management Agile / XP / Scrum Pair Programming Literate Programming Unit Testing Amazon Web Services Docker Full-Stack Development

Programming Languages and Frameworks:

Preferred: Haskell or OCaml. Python.

Possible alternatives: Common Lisp Racket Scheme Javascript / Typescript / Node.

Computational Linguistics Natural Language Generation

Computational Semantics (in Haskell, Prolog, or Lisp) Montague Semantics Grammatical Framework Text planning Surface realization

Familiarity with: WordNet FrameNet SenseNet Controlled Natural Languages Attempto Controlled English ACErules

Formal Verification and Specification Languages

Some familiarity with any of: TLA+ Alloy IVy B Method Z notation VDM++ LTL

Preferred qualifications:

Theorem Proving and Strongly Typed Languages:

CoQ Agda Idris Lean Prover F* Advanced Haskell (Template etc) OCaml Elm Isabelle/HOL StrangeLoop Pony

Model Checkers and SAT/SMT solvers: Z3 PAT SMTlib NuSMV SPIN Sentient

IDEs, Language Workbenches, and PLT frameworks: K Framework JetBrains MPS IDEs (Vim, Emacs, Visual Studio Code, Atom, Sublime Text) Language Server ProtocolRule Systems and Logics

Formalization of Contracts, Rules, and Business Logic: Akoma Ntoso LegalRuleML Petri Nets Drools iLog OPA Neota Logic Constraint Handling Rules ICAIL JURIX RuleML+RR

Model Driven Architecture: UML BPMN DMN OCL SBVR Statecharts Activity Diagrams Parnas Tables

Logics: Hoare Logic Kripke structures Modal mu-calculus Dynamic Logic Deontic, Temporal, and Epistemic modals Situation Calculus Process Calculi Multivalent logics Defeasible Logic BDI Abductive Logic F-Logic Intuitionistic Non-monotonic Logics Skolemization Well-Founded Semantics

Good Old-Fashioned Artificial Intelligence and Semantic Web

Knowledge Representation and Reasoning: Lisp Prolog F-Logic Flora-2 Datalog Answer-Set Programming Defeasible Logic Expert Systems DocAssemble lps.doc.ic.ac.uk

Semantic Web and Ontologies:

RDFa RDFt RDF RIF SWRL OWL Cyc KBpedia SUMO UFO Protg

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Processing and cleaning of datasets
• Implementation of research algorithms/tools/systems
• Validation and testing of the implementation
• Documentation of the implementation and results

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Proficiency in programming languages (such as Python) is required
• Good data management skills• Good working knowledge of machine learning and AI
• Experience with visualization technologies is strongly preferred
• Good analytical, technical and problem solving skills
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Literature review.
• Algorithm and signal processing pipeline design.
• SNN design and implementation.
• Data analysis and evaluation.
• Writing papers.

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 0.5 years of relevant research experience in SNN or signal processing.
• Basic knowledge/Proficiency in programming software/languages such as Python and C will be positively considered/ is required.
• Demonstrated experience and know-how on developing DNN or SNN.
• Experience with at least one programming software/languages, such as Python or C is preferred.
• Excellent working knowledge of signal processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in general AI area will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• Research on tackling the research problems of SAR image recognition and object detection (semantic segmentation included).
• Develop the state-of-the-art algorithms of SAR image recognition models and publish papers.
• Implement the systematical toolbox using the trained SAR models.
• Demonstrate and visualize the research results in regular meetings with DSO Lab.

• Minimum Master's degree in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 3 years of relevant research experience in computer vision and deep learning.
• Proficiency in programming languages such as c++ and python is required.
• Demonstrated experience and know-how on pytorch and tensorflow.
• Excellent working knowledge of SAR image processing.
• Good analytical, technical and problem solving skills.
• Applicants with research publications in incremental learning, few-shot learning, and long-tailed image recognition topics will be advantageous.
• Self-motivated individual who can work independently and also collaboratively with team members.

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• To apply machine learning techniques to improve the accuracy of the inferencing system
• To select and analyze specific Android brand/model on their compatibility with the side-channel inferencing system
• To evaluate the performance overhead and accuracy of the inferencing system prototype

• Bachelor or Master Degree in Computer Science, Information Technology, Information Systems, Computer Engineering, or related disciplines
• Project experience in machine learning or Android security is a plus
• Good communication skills in English
• Advanced level of programming and software implementation, especially in C/C++ and Java
• Good understanding of existing machine learning techniques
• Good understanding of Android architecture and Android executables
• Good analytical, technical, and problem-solving skills
• Self-motivated and willing to work in a term

#LI-JN2

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

The candidate will be responsible for conducting AI research on developing conversational AI system for mental health. Successful candidate will be part of an active research team led by Prof LIM Ee Peng from School of Computing and Information Systems, Singapore Management University.

• Code development
• Database management
• Data analysis and visualization
• Experiment design and implementation
• Software documentation
• Meeting arrangement
• Presentation
• Report writing

• Minimum Bachelor's degree in Computer Science, Information Technology, Information Systems or closely related disciplines from a reputable institution of higher learning
• Relevant research experience is preferred
• Proficiency in programming in Python and related packages
• Knowledge in large language models, databases (including SQL), NLP, and machine learning
• Experience with research works is preferred• Good analytical, technical and problem-solving skills
• Applicants with research publications in AI or NLP area will be advantageous
• Self-motivated individual who can work independently and also collaboratively with team members

#LI-JN2