Job Description:

• Responsible for developing and optimizing dry etch processes to support IME’s various program requirements.
• Create process innovations related to dry etch process, which may involve design and development of novel gas mixture and/or masking material.
• Setup and execute design of experiments (DOEs) and evaluate experimental data to meet appropriate process specifications.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to dry etch process.
• Act as a subject matter expert and resource for colleagues in various programs and lead small projects.
• Work with fab team in establishing statistical process control for dry etch systems.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 5 years direct experience in semiconductor dry etch module is preferred.
• Good understanding of plasma physics, chemical reactions and mechanisms related to semiconductor dry etching process is desired.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired
• Understanding of dry etch system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Job Description:

• Responsible for developing and optimizing dry etch processes to support IME’s various program requirements.
• Create process innovations related to dry etch process, which may involve design and development of novel gas mixture and/or masking material.
• Setup and execute design of experiments (DOEs) and evaluate experimental data to meet appropriate process specifications.
• Champion process window characterization and evaluation to drive quality and yield improvement.
• Closely collaborate with process integration teams to implement technology roadmaps, define process capability requirements, and address structural implications and constraints related to dry etch process.
• Act as a subject matter expert and resource for colleagues in various programs and lead small projects.
• Work with fab team in establishing statistical process control for dry etch systems.
• Generate and present reports to both internal and external customers.

Requirements:

• Bachelors/Masters in Materials Science and Engineering, Chemical Engineering, Chemistry, Microelectronics Engineering, or closely related fields are welcome to apply.
• Prior 5 years direct experience in semiconductor dry etch module is preferred.
• Good understanding of plasma physics, chemical reactions and mechanisms related to semiconductor dry etching process is desired.
• Working knowledge and prior hands-on experience in Design of Experiments (DOE) methodologies, statistical root cause analysis, and problem-solving methods, is desired
• Understanding of dry etch system hardware is advantageous.
• Knowledge and prior hands-on experience on basic process characterization techniques such as SEM/TEM, EDX, SIMS, AFM, Ellipsometry is advantageous.
• Possess good interpersonal and oral/written communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

A Research Engineer position is open immediately in the Department of Mechanical Engineering, National University of Singapore. Successful candidate is expected to work in the field of AI for Science. Especially, the work is to develop advanced AI models for computational physics and computational materials applications. The candidate will also conduct calculations using DFT and/or AIMD for generating training dataset.

Qualifications

Candidates should have a master’s degree in physics, Materials Science, Electrical Engineering, Mechanical Engineering or a closely related field. They should also have excellent communication skills, both oral and written, and able to guide undergraduate students to conduct projects. Successful candidate is expected to perform DFT/AIMD calculations to understand the underlying physics for explainable AI model development. The candidates have higher priority if they have the background of the AI for Science.

Responsibilities:

• Confidently lead a small team of Researchers
• Develop junior members on critical thinking and computational thinking skills
• Able to solve problems creatively, and pivot responsively to operational changes
• Conducting presentations of research results and analyses
• Strong in articulating concepts and ideas in clear and precise manner
• Deployment of adjacent teams for operational work
• Scripting, processing and delivery of accurate survey datasets to clients
• Maintaining excellent relationships with all stakeholders

Requirements:

• Bachelor in Mathematics, Engineering, Business, Science, Computing, or any numerical fields preferred
• At least 5 years of working experience, with leadership roles in market/consumer/social research
• Have strong quantitative skills, confident and excellent interpersonal skills to deal with different stakeholders
• Analytical with attention to details and a team player
• Highly comfortable dealing with large datasets using software (eg. SPSS, R, Python, Power BI etc.)
• Familiarity with scripting and data collection platforms (e.g. WinCATI, Sensus, Forsta) an added advantage
• Competency with Microsoft Office, and intermediate to advanced skills in Powerpoint and Excel

Interested candidates, submit your resume in MSWord to [email protected] or contact 62251232

Responsibilities:
1. The candidate will be required to perform on-wafer device testing, test data analysis & perform test measurement automation
2. The candidate should have hands-on experience in using an oscilloscope, power supply, analyzer, probe station, and related test tools and data presentation
3. The candidate should know basic programming to instrumentation control using LabView, MATLAB, and other software such as Visual Basic, Python, C++, etc. as a plus
4. The candidate is required to have basic knowledge of semiconductor devices
5. Understanding the device"s electrical parameters such as current-voltage characteristics, resistance, capacitance, inductance, etc. will be an advantage

Qualifications:
1. ITE/Diploma with relevant sutdy (Electrical, Electronics, Computer Engineering, Physics, etc.) can be considered
2. 2-3 years experience in electrical instrument handling and system automation
3. Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done
4. Semiconductor industry experience is a plus

Lab Officer/ Research Engineer

Job Description:

Be part of an exciting FAB Operations Team working on cutting-edge advanced packaging process technologies.
This position is based in Singapore.

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Experience:

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.
• Must be a self-starter, dependable and highly motivated

Responsibilities:
1. The candidate will be required to perform on-wafer device testing, test data analysis & perform test measurement automation
2. The candidate should have hands-on experience in using an oscilloscope, power supply, analyzer, probe station, and related test tools and data presentation
3. The candidate should know basic programming to instrumentation control using LabView, MATLAB, and other software such as Visual Basic, Python, C++, etc. as a plus
4. The candidate is required to have basic knowledge of semiconductor devices
5. Understanding the device"s electrical parameters such as current-voltage characteristics, resistance, capacitance, inductance, etc. will be an advantage

Qualifications:
1. ITE/Diploma with relevant sutdy (Electrical, Electronics, Computer Engineering, Physics, etc.) can be considered
2. Fresh graduate or 2-3 years experience in electrical instrument handling and system automation
3. Highly motivated to succeed, a self-starter who is driven and able to work with others effectively to get things done
4. Semiconductor industry experience is a plus

Lab Officer/ Research Engineer

Job Description:

Be part of an exciting FAB Operations Team working on cutting-edge advanced packaging process technologies.
This position is based in Singapore.

Responsibilities:

• Operate multiple type of semiconductor equipment in cleanroom environment.
• Ability to use computer-based programs and applications to perform daily work/duties.
• Operate equipment based on the required process specifications (e.g. procedures, change notifications, etc.).
• Participate actively and be responsible in assigned on-the-job assignments and other required trainings when requested.
• Provide machine operations coverage and backup supports when necessary.
• Adequate understanding of the Equipment in-charge, monitor performance, timely communication with Engineers-in-charge to perform equipment errors recovery promptly when necessary.
• Demonstrate excellent teamwork to promptly execute process sequences and data collections if required.
• Always follow safety protocols & rules in the Clean Room.
• Ensure 6S in the work environment and promptly report hazards/ suspicious/ abnormal activities or personnel if any identified.
• Address potential areas for improvements such as wafers processing cycle time, Equipment utilization, Safety/ Compliances, and cost savings.

Experience:

• Diploma in MicroElectronics/Electrical/Mechanical/Chemical Engineering.
• Basic understanding on semiconductor process is preferred.
• 1-3 years of experience in semiconductor processes (Diffusion, Wet Clean, CMP, ECP, Litho, Etch, CVD, PVD, etc.) will be added advantages.
• Must be a self-starter, dependable and highly motivated

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

The associate clinical research coordinator is responsible for working closely within the Research and Translational Innovation team (RTIO), stakeholders and external parties of the SingHealth Community Hospitals (SCH) with the following key responsibilities:

• Assist in screening, study recruitment, obtaining informed consent and conducting relevant research activities in accordance to Good Clinical Practice (GCP) and Human Biomedical Research Act (HBRA)
• Perform research data collection and home visits according to research Standard Operating Procedures (SOPs), and specific procedures depending on study needs.
• Clean, prepare and calibrate research equipment as needed by studies and as per SOPs and SCH Infection Control policies.
• Manage research study database; ensure accuracy and completeness of all data collected in study reports.
• Perform other related duties additional to the work described herein.

Requirements

• Diploma in a field related to the study
• Prior experience in clinical/ research setting and in performing physical assessments and data collection will be an advantage
• Proficient in Microsoft Office Excel
• Ability to work independently, show initiative and work productively as part of a team
• Meticulous, responsible and punctual
• Possess ability to communicate effectively, both orally and in writing

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• Working on numerical modelling of weather and climate using high resolution climate models.
• Parameterization/Optimization of the climate models
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A Master's Degree in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

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.

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

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Basic Salary: $8.5k – $16k (Based on experience)
Working hours: 9am – 6am
Working days: Mon – Fri
Working location: Raffles Place

Job Responsibilities

• Develop and implement a strategic vision for AI initiatives in alignment with the company’s overall goals.
• Identify opportunities for AI to enhance business processes, products, and services.
• Oversee the entire lifecycle of AI projects, from initial concept through development, deployment, and monitoring.
• Ensure projects are delivered on time, within scope, and within budget.
• Build, lead, and mentor a high-performing AI team, fostering a culture of collaboration, innovation, and continuous improvement.
• Conduct performance reviews and provide ongoing coaching and development opportunities for team members.
• Stay abreast of the latest advancements in AI and machine learning technologies.
• Provide technical guidance and hands-on support to the team, ensuring the use of best practices and state-of-the-art techniques.
• Work closely with cross-functional teams, including product management, engineering, and marketing, to integrate AI solutions into products and services
• Collaborate with external partners, vendors, and academic institutions to advance AI capabilities.
• Drive the research and development (R&D) of new AI models and algorithms.
• Ensure the scalability, reliability, and efficiency of AI solutions.
• Oversee the collection, preprocessing, and analysis of large datasets.
• Ensure data quality, integrity, and security in compliance with relevant regulations.
• Implement robust metrics and monitoring systems to assess the performance and impact of AI solutions.
• Continuously evaluate and optimize AI models and processes.

Job Requirements

• Min. PhD in Computer Science, Data Science, AI, Machine Learning, or a related field.
• Current or recent experience as an assistant professor in a university setting is highly desirable.
• Proficiency in programming languages such as Python, R, & Java.
• Deep understanding of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch).
• Experience with big data technologies and cloud platforms.
• Experience in leading a diverse team of professionals (AI Project lead).
• With Published research in reputable AI journals or conferences.
• Active participation in AI and data science communities

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS. SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in quantitative analysis, particularly in the area of machine learning and artificial intelligence. The responsibilities of the role will include designing and developing various analytical frameworks to analyze structure, unstructured and non-traditional data related to corporate financial, environmental, and social indicators.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Zhang Weina) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of data analysis frameworks.
• Plan, supervise and perform (if necessary) the development of supervised and unsupervised machine learning tools to process information from various data sources, including commercial databases and alternative, non-traditional datasets.
• Plan, supervise and perform (if necessary) the generation of impact measures using machine learning, in collaboration with the Institute’s Directors and other Research Fellows.
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research associates on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

The Research Officer (RO) will be part of a strategic project to monitor the implementation and evaluate a new care model in SingHealth Community Hospitals.

The RO will be responsible for performing data collection, coding, analysis and accurate interpretation of results for the project, including conducting interviews with patients. The RO supports monthly project meetings as secretariat to present project status updates and review key findings with the project team. He/she also assists to prepare the quarterly performance review and review performance with project team before submission. The RO will participate in the preparation of abstracts, posters, and manuscripts, as well as conduct literature reviews. He/she will perform other related duties as assigned.

The position will be for a contract period of one year.

Requirements

• Bachelor’s degree in a related field (e.g. Life Sciences, Nursing, Pharmacy, Public Health, Psychology, Social Work or Sociology)
• Experience with qualitative and quantitative data analysis
• Good interpersonal and communication skills
• Ability to work both independently and collaboratively
• Flexibility to work after office hours and on weekends as needed, as participants may request that we interview them during these timings

The National Institute of Education invites suitable applications for the position of Research Assistant on a 24-month contract at the Natural Sciences and Science Education Department.

Project Title: Enhancing guiding inquiry-based learning through teacher-chatbot collaboration

Project Introduction: This project aims to develop a chatbot-integrated instructional model to support scientific inquiry, promoting student-led activities. The research will involve designing, implementing, and refining this model through feedback loops. Expected outcomes include better student engagement, increased opportunities for student agency, and improved teacher-chatbot collaboration, enhancing inquiry-based learning.

Requirements:

• Bachelor's degree in Social Sciences or a related field

• Preferred qualifications or work experience in science education

• Proficiency in prompt engineering or use of large language models

• Good communication, organisation, writing, proof-reading and research skills

• Native or near-native proficiency in English

• Proactive and able to work independently, and a good team player

Responsibilities:

• Conduct a literature review to support research

• Work on development of lessons and materials

• Work on development of a custom model using a large language model (e.g., ChatGPT)

• Assist and work closely with the research team and partners

• Collect, analyse and manage data

• Write/prepare research reports, publications and presentation materials independently

• Other research and project management tasks as assigned by the Principal Investigator (PI).

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Req ID: R00018151 (https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Natural-Sciences-and-Science-Education-Department--NIE-_R00018151-1)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

We are expanding our laboratory unit at the Pediatric Brain Tumor Research Office, SingHealth Duke-NUS Academic Medical Center. This is a Research Officer position. You will be working on molecular and cellular characterization of genes and biochemical/functional experiments related to translational aspects of human carcinogenesis, as well as mouse models.

Requirements:

- Bachelor of Science with Honors.
- Technical competence in a broad set of laboratory skills.
- Laboratory experience in molecular biological and cell culture techniques will be required.
- Experience in handling experiment with laboratory mice.
- Fluent in both written and spoken English.
- Ability to work independently, a good team player with good communication skills and dedication to the job.
- Conscientious, well organized and efficient in work management.
- Basic skills in computing and statistics analyses.

You are expected to work in a very friendly laboratory environment, with great learning opportunities, and mentorship from a clinician-scientist. Motivated individuals with good academic performance are encouraged to apply.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Research Fellow (Climate Models)

• Working on numerical modelling of weather and climate using high resolution climate models. – regional and urban
• Parameterization/Optimization of the climate models
• Data Assimilation
• Seasonal to Sub-Seasonal forecasting
• Working on Supercomputing platforms/Linux platforms for Numerical Weather Prediction and Climate Modelling
• Data processing and data analyses
• Data visualization
• Publishing research in peer reviewed journals
• Presentation of research in workshops/conferences

Qualifications

• A PhD in Climate/Atmospheric Sciences
• Good knowledge of tropical meteorology and atmospheric dynamics
• Experience in Numerical modelling with the WRF model
• Experience in handling supercomputing platforms
• Knowledge of Unix systems
• Expertise in programming languages such as NCL, GrADS, Python
• Expertise in shell scripting

Job description

• Conduct accurate monitoring, documenting and reporting of experimental results and/or research findings.
• Perform wet bench experiments in the laboratory, including molecular biology, CRISPR screening, biochemistry, drug screening, microscopy and next generation sequencing
• Perform animal experimentation including mice experimental models, mice health monitoring, drug dosing
• Maintain and upkeep biobank of tissues, cell lines and other biological materials
• Assist researchers in data analysis and literature review in various research projects.
• Contribute to project management, presentations, manuscript preparation & submission for publications.
• Assist with general upkeep of laboratory needs, provide technical support and establish work procedures to ongoing research projects and maintaining good safety record for lab audits.
• Perform other related duties incidental to the work described therein.

Relevant Experience

• An aptitude for research and at least 1 years of relevant work experience. Experience in molecular biology work and animal experimentation will be advantageous.
• Candidates with working knowledge in cancer will be desirable.
• Possess strong interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is mature, open-minded, energetic, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

Education Qualifications

• A Bachelor degree in Biomedical/ Biological Sciences

Nearest MRT: Outram Park
Contract Duration: 8 Months
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: $17 per hour

Responsibilities:

· Conduct market research using methods such as interviews, questionnaires, focus groups and market analysis surveys

· Compile, analyse and report market research findings and present actionable and relevant recommendations.

· Support the collaboration with internal divisions and external partners to scope, develop and/or align project objectives and requirements in a dynamic and agile working environment.

· Support other project management related duties, as assigned.

Requirements:

· Bachelor’s Degree in Psychology / Sociology / Life Sciences / Chemistry / Physics / Mathematics / Economics or other relevant discipline.

· Experience in data visualisation tools (e.g. Tableau, Power BI)

· Experience in Market Research, preferably in the health sector

· Entry Level applicants are welcomed to apply.

· Immediate Starters are preferred (Not serving notice).

· Only Singaporeans

Interested candidates, please forward a copy of your resume to: [email protected].

We regret to inform that only shortlisted candidates will be notified.

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for a Research Assistant/Research Associate in the Human Potential Translational Research Programme (HPTRP), Yong Loo Lin School of Medicine. The HPTRP brings together researchers from a wide range of disciplines with an interest to maximise human potential. In HPTRP, focusing only on human studies, we adopt a holistic perspective that considers human potential as an integrative measure of health, productivity, performance, human capital and overall well-being over the lifespan, in our environment. Appointments will be made on a one-year contract, with the possibility of a one-year extension.

Purpose of the post

The Research Assistant/Research Associate (RA) will be involved in an ethnographic and historical study that investigates the urban heat experiences and practices of Singapore households. The RA will be responsible to, and work closely with, the Principal Investigator and Co-Investigator(s) to ensure the successful and timely completion of the project. The RA’s principal role will be to recruit participants, participate in multi-method physiological-ethnographic fieldwork investigations (physio-ethnography), conduct ethnographic and oral history interviews, data entry and analysis, interview transcription and drafting of publications and reports.

Main Duties and Responsibilities

The Research Assistant/Research Associate will assist in physio-ethnographic research and analysis (i.e. conduct interviews, participant-observation, data collection and organisation etc.), liaise with relevant personnel and will be accountable to the Principal Investigator.

The Research Assistant will:

1. Support the conduct of physio-ethnographic research;
2. Provide administrative support to the project, such as in the recruitment of participants and data collection;
3. Maintain the highest standard of professional conduct and record-keeping in accordance with policies and procedures;
4. Maintain regular communication with other members of the research team;
5. Perform literature review, data analysis and drafting of reports and publications;
6. Work at different study sites, depending on the needs; and
7. Work beyond routine work hours due to the nature of research.

Qualifications

The applicant should:

1. Have a good Bachelor’s or Master’s degree, preferably in anthropology, history, geography or a closely-related social science or humanities discipline;
2. Preferably an interest in medical anthropology, history of medicine, health humanities, or science and technology studies (STS) and/or a second major or degree in the life sciences (e.g. physiology, biological anthropology, environmental biology, exercise science, public health, nutrition, traditional Chinese medicine etc);
3. Have undertaken rigorous social scientific or humanities research, at least at the honours’ level;
4. Preferably have an interest and/or experience in conducting field research with human participants.
5. Be able to work independently and in a team;
6. Have an investigative nature and be detail-oriented; have knowledge of computer applications, e.g. SPSS, MS Office.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Only shortlisted candidates will be notified.

Interested parties may contact Ms H’ng Shiau Chen at [email protected] or Dr Joshua Dao-Wei Sim at [email protected].

Responsibilities:

• Develop systematic trading models for equity markets
• Alpha idea generation, backtesting, and implementation
• Assist in building, maintenance, and continual improvement of production and trading environments
• Evaluate new datasets for alpha potential
• Improve existing strategies and portfolio optimization
• Execution monitoring
• Be a core contributor to growing the investment process and research infrastructure of the team

Requirements:

• 5+ years of experience systematic equities trading at a financial services institution
• Experience with alpha research, portfolio construction and optimization
• Experience building statistical/technical, fundamental, and data driven signals
• Experience synthesizing predictive signals for both cross-sectional and time-series models
• Strong experience with data exploration, dimension reduction, and feature engineering
• Experience managing and running risk is a strong plus
• Proficiency in Python and C++
• Strong time management ability—the ability to manage multiple tasks and deadlines in a fast-paced environment
• High degree of drive and energy—must be a self-starter
• Ability to work cooperatively with all levels of staff and to thrive in a team-oriented environment
• Commitment to the highest ethical standards and who act with professionalism and integrity at all times

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

A Research Fellow position is available in the laboratory of Weibo Gao Lab at SPMS, Nanyang Technological University, Singapore.

Key Responsibilities:

• Research activities related to electrical-optics modulator calculation, simulation and design

Job Requirements:

• Ph.D. degree in either material science or applied physics or relevant subject from well-established universities/institutes
• Highly motivated in multidisciplinary research
• Experience in Quantum materials
• Experience in electrical-optics modulator design
• Abilities to work independently as well as teamwork

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Principal Investigator Associate Professor Gigi Chiu on formulation development and characterizations under a project on Multifunctional Hydrogels for Diabetic Wound: Innovative Formulation Development.

The main responsibilities of the position include:
• To develop pharmaceutical applicable hydrogel formulations and characterize such formulations via assays for physicochemical and biological characterizations of pharmaceutical products.
• To prepare research manuscripts and disseminate research findings via publications.
• To assist PI in supervising juniors including but not limited to undergraduate and post-graduate students in the research lab.
• To serve as Key Safety Lead in PI’s lab and will be in-charge of day-to-day lab safety related matters. Should have obtained/passed lab safety requirements needed to perform the assays as mentioned, and must have prior experience as the Key Safety Lead of a research lab.

Qualifications

Qualifications / Discipline:
PhD graduate (> 1 yr) in Pharmaceutical science specifically in the area of formulation development and characterization.

Skills:
- Hands-on physico-chemical characterization of hydrogel and liposomes and hybrid formulations including rheological studies.
- Well-versed in in vitro cell culture techniques for hydrogel and liposomes and hybrid formulations characterization.
- Knowledgeable in hands-on animal model to evaluate formulation performance.

Experience:
- Well-versed in formulation characterization in the area of hydrogels as well as other in vitro cell culture studies required for the characterizations of such formulations.
- More than 3 yrs experience in supervising and working with research students and/juniors, with excellent communication skills.
- Must have served as the Key Safety Lead in a research wet-lab for at least 1-2 yrs, and knowledgeable in safety policies, risk assessments and practices. Prior experience as a fire warden is advantageous.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.