Total 3,409 research associate job vacancies in Education / Training category in Singapore

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Job Description:

Be part of an exciting team working on cutting-edge advanced packaging process technologies. Participate in process development and integration solution to enable advanced packaging process technologies in the world of mobile, IoT, consumer and high-performance computing area. Partner and work with various teams from inside and outside of IME to help develop leading-edge packaging solutions for our customers, taking the solutions from concept to mass production. Responsibilities will include assisting in operations support in clean room to make sure projects are completed successfully and delivered on time.

This position is based in Singapore.

Responsibilities:

• Operate semiconductor equipment to perform processes, measurement, and inspection of wafers. (Include equipment setup, loading and unloading of wafers)
• Monitor basic equipment/process errors and perform recovery.
• Work with internal and external parties to align for tool time, execute process sequence and collect data to feedback to integration owner.
• Logistically transport wafer lots between equipment within cleanroom and between worksites.
• Identify and address potential areas for improvements such as cycle time, utilization, and cost.
• Perform chemical change/ top-up for equipment under supervision.
• Understand and follow all Environmental, Health and Safety (EHS) procedures and requirements.
• The candidate may be required to perform shift work (Mon-Fri).

Experience:

• Diploma in Electrical/Mechanical/Chemical Engineering
• Basic understanding on semiconductor process is preferred
• 1-3 years of experience in semiconductor processes (Litho, Etch, CVD, PVD, Plating, Metrology etc.) will be added advantages

Description:

• Coordinate study start-up activities
• Plan, organize and coordinate the workflow of the study
• Assisting with informed consent process by providing information to and educating research subjects, data collection and surveys
• Coordinate all relevant subject visits, ensuring minimum deviation from schedule of visits
• Monitor the quality of research ensuring compliance with the guidelines and standards
• Assist with all external monitoring, audit and inspection visits
• Monitor the financial aspects of the assigned study and advise the stakeholders accordingly
• Work with PI and department to respond to any audit findings and implement approved recommendations
• Assist with study closure activities including archival and assisting with all audits/ inspections/ monitoring

Requirements:

• Min. Degree in Science
• No exp needed, training provided
• Exp / internship in clinical research will be an advantage

Working hours: Mon - Fri, office hours

Location: Novena

Interested candidates, please forward your resume to [email protected]

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Please apply here: Imperial Global Singapore - Research Engineer, IN-CYPHER (sage.hr)

Imperial College London and Nanyang Technological University (NTU) are seeking Research Engineers to join the exciting new Imperial/NTU CYber Protection for HEalthcaRe (IN-CYPHER) research programme on the cybersecurity of connected medical devices and systems. The research programme represents a collaboration between the United Kingdom and Singapore and will be based at the newly established Imperial Global Singapore (IGS).

IN-CYPHER is comprised of four interacting themes, spanning the design of intelligent medical devices through to the use of their data in informing personalised healthcare. Allied to other programmes in Singapore and the UK, it represents a unique opportunity to be at the forefront of research and development into securing the vital information that flows from implantable, wearable and connected medical devices, and the personalised healthcare systems that consume such data. The four themes of IN-CYPHER are:

• Theme 1 Protecting Implantable Devices
• Theme 2 Securing Connected Wearables & Healthcare Systems
• Theme 3 Algorithms for Privacy, Security and Provenance
• Theme 4 Clinical Innovation & Translation

Connected medical devices are increasingly employed in the drive towards increasingly personalised health, and in delivering virtually all aspects of healthcare. With key researchers and teams from both Lee Kong Chian School of Medicine and Imperial College Healthcare NHS Trust, we seek to develop deep technologies that are informed by threat models for the emerging area of personalised medicine, and specifically where patient stratification or treatment personalisation leverages processes that use data-driven machine learning.

Given the span of the IN-CYPHER programme, we are seeking up to 4 motivated research engineers to join the IN-CYPHER programme. Unique in its scope, we are developing technologies that span embedded systems, and the protocols used to control and communicate sensitive patient information, all the way up to interventional devices and systems for personalised healthcare.

We are particularly looking for research engineers with the following backgrounds:

- Cybersecurity engineering

- Large Language Models (particularly fine-tuning LLMs, and Mixtures of Experts)

- ASIC design and hardware engineering

- Biomedical sensor design and fabrication

- Data science

- Biomedical Engineering

- Software engineering

- Cybersecurity threat modelling

- Data-driven personalised healthcare

- Model-based personalised healthcare (e.g. pharmokinetic modelling)

- Translational and regulatory expertise in medical devices

The collaborating Departments include senior academics from the Department of Metabolism, Digestion and Reproduction and the Department of Bioengineering at Imperial – the largest Biomedical Engineering Department in the UK – and senior researchers from the School of Computer Science and Engineering (SCSE), School of Electrical and Electronic Engineering and the Lee Kong Chian School of Medicine at Nanyang Technological University. Candidates will be employed by Imperial Global Singapore, a research division of Imperial College London, consistently ranked within the top 10 of the QS University Rankings. Candidates must be resident and based in Singapore, but there will be opportunities for research visits to Imperial’s London-based locations.

Please see full job description: Imperial Global Singapore - IN-CYPHER Research Engineer Job Description

Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.

Applicants will need to include a Cover Letter and CV with publication list, if relevant.

Please apply here: Imperial Global Singapore - Research Engineer, IN-CYPHER (sage.hr)

Only applicants that apply on the above link will be reviewed.

Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Professor Anil Bharath [email protected]. Questions about the recruitment process, should go to Alex Page, Head of Operations [email protected].

Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.

Are you looking for an exciting opportunity to join a dynamic and growing team in a fast paced and challenging area? This is a unique opportunity for you to work with Global Technology Applied Research (GTAR) center at JPMorgan Chase & Co. (JPMC). The goal of GTAR is to design and conduct research across multiple frontier technologies, in order to enable novel discoveries and inventions, and to inform and develop next-generation solutions for the firm’s clients and businesses.

As an Applied Research Lead in Global Technology Applied Research, you have solid quantum key distribution (QKD) theory background to drive quantum-safe networking innovations at JPMorgan Chase. The role will contribute to the research program of the Quantum Security and Networking team. The role is expected to collaborate with a highly interdisciplinary team, consisting of researchers and engineers from different technical disciplines, who may be located in different cities across the globe.

Job responsibilities

• Advances the quantum cryptography research program at JPMC

• Designs and develop novel quantum-safe protocols for financial use cases

• Contributes to intellectual property disclosures and publish in international peer-review journals

• Contributes to establishing JPMC’s reputation in the scientific field via publication of select results in prestigious venues

• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Ph.D. degree in Quantum Cryptography or Quantum Information Theory

• At least 2 years post-doctoral experience in a competitive quantum cryptography/information research group

• Proven track record in research (e.g., publications in high-impact factor journals and active participation in leading conferences like QCRYPT)

• Working knowledge of semi-definite programming and numerical optimization techniques

Preferred qualifications, capabilities, and skills

• Expertise in applied quantum cryptography with experience in designing loss-tolerant and device-independent quantum information protocols.

• Familiarity with post-quantum cryptography assumptions and their applications to quantum cryptography

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=3b0761f169624643220d96cf3a9404c1

Research Associate - Aerosol (Equipment/ Laboratory)

Our client is a GLP-compliant and AAALAC accredited, preclinical CRO based in Singapore. They offer a range of preclinical services, from GLP toxicology safety assessments, aerosol generation and delivery to research support services to help achieve research goals. We are currently looking for a Research Associate – Aerosol to support the operations.

More information

• 12-Months Contract
• Location: Central
• 5 Days Work
• Up to $4500 depending on experience

Job Summary

• Develop aerosol systems and processes towards enabling business needs in accordance with stipulated requirements (e.g. GLP, ISO, EHS&S)

Responsibilities

• Support and execute the following activities in accordance with stipulated regulations:inhalation system setup
  test item management
  operation and maintenance
  system qualification
  aerosol generation and characterization
  data review and compilation
  
• Support the implementation of technical alternatives and improvements for aerosol characterization, aerosol systems and processes.
• Support the data analysis, troubleshooting, root cause determination, and implementation of changes to achieve aerosol quality and compliance with stipulated
• Conform to standard operating procedures in accordance with stipulated regulations.
• Support the execution of Capital Expenditure projects to achieve business continuity and advancement.
• Support the maintenance of equipment and to ensure the availability of laboratory supplies
• Ensure proper upkeep of the laboratory

Requirement

• Diploma in Science or Engineering fields
• At least Diploma in equipment, process, aerosol engineering or other relevant engineering/ science fields or 1 year of relevant experience.
• Proficient in MS word, Excel, PowerPoint.

Lim Pey Chyi (Apple) - [email protected]

Recruitment Consultant (R2090579)

Manpower Staffing Services (S) Pte Ltd

EA Licence: 02C3423

A*STAR Infectious Diseases Labs (A*STAR ID Labs) is seeking for a Research Officer to join us in our mission to be a leading centre of infectious diseases research. A*STAR ID Labs aims to develop a cohesive A*STAR response to drive and deliver translational infectious diseases research to better health and economic outcomes.

About the programme

The programme is a collaborative initiative aimed at developing vaccines to mitigate the impacts of marine fish pathogens and promote sustainable aquaculture in Singapore.

Job Description:

• Conduct laboratory experiments in vaccine testing and perform data analysis for research or industry collaboration projects.
• Work closely with a multidisciplinary team of researchers, veterinarians, and aquaculture specialists.
• Work with fish models (both in vitro and in vivo) of infectious diseases.
• Perform meticulous recordkeeping and effectively communicate findings to the team, research collaborators and industry partners.
• Perform maintenance of inventory and procurement of laboratory consumables.
• Ensure adherence to safe technical practices and procedures.
• Providing guidance and training to students and interns on laboratory techniques and protocols.

Job Requirements:

• Bachelor′s degree in Biological Sciences, Infectious Diseases, Immunology, Microbiology, Biochemistry, Marine Biology or related field.
• 1 to 2 years of relevant experience
• Strong background in Immunology, Marine biology, Microbiology, Molecular Biology, Biochemistry, Genetics and Genomics.
• Experience in cell culture, fish handling, sample collection and processing, flow cytometry, and cellular and molecular techniques.
• Experience in industry project management.
• Highly motivated and capable of working independently.
• Strong analytical, technical and problem-solving skills
• Strong team player with excellent interpersonal skills.
• Proficient in spoken and written communication.

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

Our GeoSpatialX lab (https://blog.nus.edu.sg/geospatialx/), based in the Geography Department at National University of Singapore, has conducted a series of infectious disease transmission and control studies. We are seeking to recruit an excellent Research Assistant on using statistical/AI models to better understand the geographic spread of mosquito-transmitted viruses (i.e., dengue) under future climate change scenarios in Southeast Asia.

Qualifications

You will have a Master * or equivalent professional qualifications and relevant research experience in an epidemiology/ health geography/ statistical/ mathematical/ quantitative discipline. Strong experiences in statistical modeling, AI, infectious disease modelling, and computer programming skills would be advantageous. The project work will be highly interdisciplinary and as such there is some flexibility to accommodate expertise from a range of cognate disciplinary backgrounds (e.g. geography, demography, statistics, medicine, computer science, ecology, epidemiology etc).

General and Application Details

Informal enquiries may be made to Prof. Luo Wei ([email protected]).

Please include a covering letter, full CV and 2 letters of recommendation in your application.

This is a one year contract which can be extended according to performance.

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT.

We are looking to recruit a highly motivated Research Assistant who will be part of a multidisciplinary research team to investigate digital wellness, particularly video gaming overuse among Singaporeans. We seek a highly organized individual with good attention to detail and a strong interest in video gaming research.

Key Responsibilities

• Project Management:

1. Participate in and manage the research project with the Principal Investigator (PI), Co-PIs and students to ensure all project deliverables are met.
2. Assist in coordinating and managing day-to-day research activities including scheduling, participant recruitment, data collection, and maintaining project timelines.
3. Ensure that research activities comply with the ethical guidelines and Institutional Review Board requirements.
4. Collaborate with undergraduate students who are working on their honours thesis as part of this project.

• Data Management and Analysis:

1. Ensure accuracy and efficient data entry, coding, and organization of databases.
2. Quantitative statistical data analysis using STATA, Python or R with survey and clinical data (including descriptive statistics, inferential statistics and regression models).
3. Comply with IRB and ethical guidelines in data management.

• Work with PI and Co-Is in qualitative data analysis
• Liaise with our community partner
• Coordinate procurement and liaison with vendors/suppliers.

Job Requirements

• Have a bachelor’s degree in psychology, statistics/mathematics, public health, health/medical sciences-related degree, or social science-related degree. Possessing a Master’s or PhD degree will be advantageous.
• Have relevant competence or previous experience in research, writing research papers and quantitative data analysis.
• Proficiency in R, STATA, Python or another statistical analysis software.
• Knowledge of video gaming addictions, behavioural addictions, or digital health will be advantageous.

ExodusPoint Capital, founded in 2017 by Michael Gelband and Hyung Lee, began managing investor capital in 2018. The firm employs a global multi-strategy investment approach, seeking to deliver compelling asymmetric returns by combining complementary liquid strategies managed by experienced investment professionals within a robust risk framework. ExodusPoint brings together an accomplished team with hands-on experience running multi-manager businesses to create an institutional investment management firm

We are looking for a Quantitative Strategies Research Analyst to join our team in Singapore. This person will work closely with portfolio managers on research projects with a focus on data-driven quantitative strategies.

Responsibilities:

• Collaborate with other technology teams to formulate innovative solutions for trading and risk management
• Responsible for data parsing, cleaning and processing research jobs

Qualifications:

• Degree from leading university in a quantitative or technical field
• Good communication skills to collaborate both within and across teams
• Knowledge of linear algebra and statistics
• Prior experience in finance a plus
• Proficient in at least one language (e.g. Python) and relational database

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