Total 1,350 job vacancies in Singapore

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

We invite committed and suitably-qualified candidates passionate about teaching to join us as full time teachers.

Training will be provided for full-time teachers.

Full time teachers have to work on both weekends. Off days will be on weekdays.

Job Responsibilities:

• Teaching Subjects: Chemistry and Physics at GCE O/A level and general sciences
• Teach in small groups ranging from 2 to 18 in class size.
• Encourage learners on their learning journey and nurture their self-esteem
• Track progress of students and provide feedback to parents
• Ad-hoc work: updating of teaching materials and conduct labs

Job Requirements:

• Good communication skills in English
• University degree in relevant subject
• Familiar with MS Word
• Committed to help learners improve
• Able to work on weekends

We invite committed and suitably-qualified candidates passionate about teaching to join us as full time teachers.

Training will be provided for full-time teachers.

Full time teachers have to work on both weekends. Off days will be on weekdays.

Job Responsibilities:

• Teaching Subjects: Chemistry and Physics at GCE O/A level and general sciences
• Teach in small groups ranging from 2 to 18 in class size.
• Encourage learners on their learning journey and nurture their self-esteem
• Track progress of students and provide feedback to parents
• Ad-hoc work: updating of teaching materials and conduct labs

Job Requirements:

• Good communication skills in English
• University degree in relevant subject
• Familiar with MS Word
• Committed to help learners improve
• Able to work on weekends

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32619-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Job Description

The Cardiovascular & Metabolic Disorders (CVMD) Programme is seeking a highly motivated Research Fellow to support and drive strategic research initiatives in the area of ageing and longevity.

The successful candidate will work closely with Professor Yibin Wang, and a multidisciplinary team of investigators, collaborators, and partners across academia, healthcare, and industry. This role is suited for a candidate with strong scientific training, project management capabilities, and the ability to coordinate complex research initiatives in a dynamic academic research environment.

This role offers broad exposure to scientific coordination, partnership development, and programme-level research management in a collaborative and intellectually stimulating environment. We welcome candidates who are scientifically grounded, proactive, and committed to advancing impactful research in ageing and longevity.

Key Responsibilities

• Provide scientific, research, and operational support to the Principal Investigator and Co-Investigators for ageing and longevity research initiatives.
• Provide logistic and technical support to a team of researchers to ensure timely achievement of project goals, milestones, and deliverables.
• Coordinate and manage complex research projects involving local and international collaborators and stakeholders.
• Oversee end-to-end project management, including grant preparation, research planning, execution, monitoring, reporting, and risk mitigation.
• Manage research-related agreements and documentation, including Research Collaboration Agreements, sub-contracting arrangements, and related records.
• Liaise with relevant institutional offices, including Contracts & Industry Engagement (CIE), Safety, Health & Emergency Response and Compliance (SHERIC), and other administrative units, to ensure compliance with contractual, regulatory, ethical, and operational requirements.
• Support intellectual property and technology disclosure processes in collaboration with researchers and the Office of Innovation and Entrepreneurship (OIE).
• Support the planning and execution of programme-related meetings, workshops, seminars, partnership engagements, and outreach activities.
• Contribute to strategic planning, programme development, and reporting to strengthen Duke-NUS ageing and longevity research portfolio.

Job Requirements

• PhD in a relevant scientific discipline and/or a postgraduate Medical Degree, with at least 3 years of relevant experience in an academic, research institute, healthcare, or institute of higher learning environment.
• Strong experience in research coordination, programme management, or project management, preferably in a multidisciplinary research setting.
• Demonstrated ability to manage multiple stakeholders, timelines, and deliverables effectively.
• Experience in translational research, strategic research development, or industry-linked projects will be an advantage.
• Familiarity with research contracts, compliance processes, and/or intellectual property management would be advantageous.
• Strong organisational, analytical, and problem-solving skills, with the ability to work under tight timelines.
• Good financial awareness and experience in budget planning or grant-related processes will be an advantage.
• Excellent written and verbal communication skills, with strong interpersonal skills.
• Experience working with international collaborators or external partners is desirable.
• Self-motivated, resourceful, detail-oriented, and able to work both independently and collaboratively.

We regret that only shortlisted candidates will be notified.

The Division of Supportive and Palliative Care is conducting research projects to improve health services for patients with cancer and other serious illnesses. The Research Fellow will participate in multiple aspects of research studies, including study design, data collection, data management, data analysis and results dissemination.

The Research Fellow will also provide research support service for clinical research, in accordance with the applicable regulatory and protocol requirements. You will work closely with the Principal Investigator (PI) and members of the department to ensure smooth and efficient day-to-day logistics support for research studies and assists in study quality control activities such as internal monitoring and prepare for auditing/ inspection.

Subject knowledge and research methods:

- Knowledge in supportive and palliative care, and health services research methods to carry out excellent research.

- Able to formulate research questions.

Data analysis and interpretation:

- Analyse and interpret data in research studies.

- Educate, advise and guide others in data analysis and interpretation.

Information searching and evaluation:

- Conduct literature reviews, advanced searches using a range of information software, resources and techniques.

Research ethics:

- Ensure that ethical principles are adhered to within own research environment.

Requirements:

- PhD, preferably in a healthcare or biomedical field.

- Prior experience in nursing or allied health is highly desirable.

- Strong interpersonal skills, able to interact with participants and clinicians at all levels.

- Motivated, independent and hardworking individual with a keen interest to gain experience in health services research and build research skills in relevant areas such as mixed methods, implementation science and data analytics using routinely collected real-world data.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32621-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32615-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32612-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32613-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Membrane%29%2C-ChBE/32608-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (membrane) positions in the Department of Chemical Engineering at National University of Singapore (NUS). 
With a strong focus on industry-driven projects, our team is advancing high-impact membrane solutions beyond the laboratory scale toward real-world deployment.

As a Research Fellow, you will work on an industry-funded project focussing on scaling up advanced membrane systems for carbon capture applications. The role involves designing, optimizing, and scaling membrane modules and testing platforms. We are seeking independent, talented, and experienced individual who is motivated to translate research into practical technology.

Candidates interested in entrepreneurship and startup environments are strongly encouraged to apply.

Key Responsibilities
-    Lead the design and fabrication of membrane modules for gas separation applications.
-    Fabricate hollow fiber membranes via spinning processes for gas separation.
-    Scale up hollow fiber membrane and module fabrication from laboratory to pilot scale.
-    Design and build testing setups for hollow fiber membrane gas separation systems.
-    Conduct membrane performance testing for carbon capture applications.
-    Liaise with manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production.
-    Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab.
-    Perform process simulation and optimization using tools such as Aspen HYSYS.
-    Conduct CFD simulations to optimize membrane module design.
-    Develop and improve experimental and modeling workflows for membrane scale-up.

Job Requrements

-    PhD in Chemical Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
-    Strong knowledge of membrane materials, membrane chemistry, and gas separation mechanisms.
-    Experience in hollow fiber membrane spinning and module fabrication for gas separation applications.
-    Experience in membrane testing and characterization for gas separation systems.
-    Experience working with polymeric or crystalline materials (e.g., MOFs, ZIFs, COFs) is preferred.
-    Additional experience in membrane technology scale-up is an advantage.
-    Familiarity with Aspen HYSYS, COMSOL (CFD), or MATLAB is beneficial.
-    Highly motivated, detail-oriented, and able to work both independently and collaboratively in a fast-paced research environment.
-    Not afraid to experiment and enjoys hands-on tinkering.
-    Thinks critically and develops customized solutions to troubleshoot problems.
-    Interest in entrepreneurship or startup ventures is encouraged.
-    Fluent in English (written and spoken).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32611-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28LKYSPP%29-%2832626%29/32626-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Lee Kuan Yew School of Public Policy at the National University of Singapore invites applications for a full-time Research Assistant position for the period of August 2026 to July 2027.  The Research Assistant will work under the supervision of Dr. Dean Dulay, Assistant Professor at the Lee Kuan Yew School of Public Policy.  The successful candidate will support an active research program in comparative politics, with a thematic focus on state formation, colonial political development, governance, and public opinion in Southeast Asia and beyond.

• Conduct and synthesize literature reviews
• Assist in the design and implementation of survey and experimental studies
• Support multi-country data collection and fieldwork
• Carry out qualitative and quantitative data analysis
• Contribute to the preparation of manuscripts for submission to peer‑reviewed journals
• Assist with interview coordination and transcription as part of ongoing fieldwork activities

Qualifications

• Bachelor’s degree or higher in Political Science, Public Policy, or a related social science discipline
• Prior research experience in comparative politics or Southeast Asian studies (advantageous)
• Proficiency in quantitative data analysis preferred
• Working knowledge of statistical software, particularly Stata and R, strongly desirable
• Detail-oriented, self-directed, and capable of managing multiple tasks across concurrent projects in a fast-paced research environment
• Due to nature of the role, strong written and oral communication skills in English required

This is a one‑year, full‑time appointment based in Singapore, with the possibility of extension subject to performance and funding availability.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Membrane%29%2C-ChBE/32607-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Research Fellow (membrane) positions in the Department of Chemical Engineering at National University of Singapore (NUS). 
With a strong focus on industry-driven projects, our team is advancing high-impact membrane solutions beyond the laboratory scale toward real-world deployment.

As a Research Fellow, you will work on an industry-funded project focussing on scaling up advanced membrane systems for carbon capture applications. The role involves designing, optimizing, and scaling membrane modules and testing platforms. We are seeking independent, talented, and experienced individual who is motivated to translate research into practical technology.

Candidates interested in entrepreneurship and startup environments are strongly encouraged to apply.

Key Responsibilities
-    Lead the design and fabrication of membrane modules for gas separation applications.
-    Fabricate hollow fiber membranes via spinning processes for gas separation.
-    Scale up hollow fiber membrane and module fabrication from laboratory to pilot scale.
-    Design and build testing setups for hollow fiber membrane gas separation systems.
-    Conduct membrane performance testing for carbon capture applications.
-    Liaise with manufacturing partners and vendors to develop prototypes and ensure successful fabrication from design to production.
-    Willing to learn simulation tools, such as ASPEN HYSYS, COMSOL CFD, Matlab.
-    Perform process simulation and optimization using tools such as Aspen HYSYS.
-    Conduct CFD simulations to optimize membrane module design.
-    Develop and improve experimental and modeling workflows for membrane scale-up.

Job Requirements

-    PhD in Chemical Engineering, Environmental Engineering, Mechanical Engineering, or a related field.
-    Strong knowledge of membrane materials, membrane chemistry, and gas separation mechanisms.
-    Experience in hollow fiber membrane spinning and module fabrication for gas separation applications.
-    Experience in membrane testing and characterization for gas separation systems.
-    Experience working with polymeric or crystalline materials (e.g., MOFs, ZIFs, COFs) is preferred.
-    Additional experience in membrane technology scale-up is an advantage.
-    Familiarity with Aspen HYSYS, COMSOL (CFD), or MATLAB is beneficial.
-    Highly motivated, detail-oriented, and able to work both independently and collaboratively in a fast-paced research environment.
-    Not afraid to experiment and enjoys hands-on tinkering.
-    Thinks critically and develops customized solutions to troubleshoot problems.
-    Interest in entrepreneurship or startup ventures is encouraged.
-    Fluent in English (written and spoken).

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32610-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Job Description

The Cardiovascular and Metabolic Disorders (CVMD) Programme houses state-of-the-art technologies for profiling mitochondrial function and metabolic adaptations in human patients and other model organisms and undertakes translational and clinical research in cardiovascular and metabolic disorders.

Dr. Matthew Hirschey's laboratory has a long-standing focus on uncovering the fundamental mechanisms of metabolism and hormone signaling in normal physiology and disease, with a current emphasis on hepatocellular carcinoma (HCC). Using cutting-edge genomic and metabolomic methods, the group seeks to identify new regulators and pathways governing metabolic rewiring and endocrine control in liver cancer, and to discover therapeutic targets relevant to HCC and related cardiometabolic disorders.

The selected candidate will perform a variety of functions related to research under the supervision of the Principal Investigator or his/her designate, including but not limited to the following:

• Perform experimental work and support all aspects of the research project, including in vivo studies using mouse models of HCC, hepatocyte and liver cancer cell culture, and molecular, biochemical, and histological analyses of liver tissues.
• Accurately monitor, document, and report experimental data and research findings, including maintaining detailed electronic laboratory notebooks, tracking animal cohorts and tumour progression, and preparing samples for downstream metabolomic, proteomic, or transcriptomic analyses.
• Analyse and interpret experimental data and contribute to oral presentations and written outputs, including scientific reports, literature reviews, figures, and manuscript preparation for publication.
• Support laboratory operations and ensure compliance with safety and regulatory requirements, including maintenance of reagents and animal colonies, adherence to LMPRS, AIMS, and Singapore Poisons Act guidelines, and provision of technical support to team members.
• Establish laboratory management procedures to maintain high efficiency and productivity of the laboratory.
• Contribute to project management, presentations and publications of research work, including supporting timelines across collaborators, presenting updates at lab and programme meetings, and assisting with grant and manuscript preparation.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor's or Master's degree in Sciences/Life Sciences with at least 2 years of relevant research experience.
• Strong hands-on experience in rodent-based animal studies is essential, and additional expertise in molecular techniques and cell culture will be highly valued.
• Demonstrated strong knowledge and hands-on expertise in supporting a broad range of research activities, including rodent handling and procedures, molecular biology, protein biochemistry, cellular assays, mammalian tissue culture, and histology, as well as sample preparation for genomics/metabolomics and rigorous data documentation/analysis.
• Able to undertake independent research progressively.
• A team player who can prioritise, multi-task and work collaboratively in a diverse workforce.
• RCULA certification will be an advantage.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32620-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32618-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32616-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Minimally a Bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32614-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    open to fixed term contract.

We are seeking experienced and highly motivated individuals to join ourgrowing research team in data science and artificial intelligence (AI).

The successful candidates will work closely with the Principal Investigator (PI) to drive advanced analytics and AI initiatives across large‑scale, multimodal healthcare datasets. Your work will span statistical modelling, machine learning, deep learning and methodology development, with strong opportunities to lead analyses, co‑develop study protocols, and contribute to high‑impact scientific publications.

This role offers meaningful career development, visibility in cross‑institution collaborations, and the chance to build a strong publication portfolio — ideal for candidates seeking to advance their scientific career and domain expertise. You will thrive in a supportive, multidisciplinary environment with access to real‑world clinical datasets, cross‑functional experts, and opportunities to participate in national‑level precision medicine and population health initiatives.

Job Requirements

1.      PhD in a quantitative discipline (e.g.,Computer Science/Engineering, Statistics/Biostatistics, Bioinformatics, Mathematics, Business Analytics, Information Systems, Operations Research, Physics) or equivalent.

2.      At least one year’s technical experience in analytics or data science, with prior exposure to healthcare data and large-scale, real-world health datasets (e.g., registries, claims, omics, wearable data).

3.      Experience in managing metadata repositories, developing data dictionaries and catalogues, and maintaining semantic documentation to support data governance and standards development.

4.      Proficiency in Python, R, and SQL, with experience in big-data frameworks (e.g., Spark/Scala, PySpark).

5.      Strong expertise in machine learning and model development; experience in deep learning and advanced analytical methods (e.g. causal inference, survival modelling, latent class analysis, omics analytics) preferred.

6.      Strong understanding of the OMOP Common Data Model, including CDM tables, relationships, and vocabulary conventions, with familiarity with standardised vocabularies such as SNOMED, LOINC, RxNorm, ICD10-AM, CPT, and NDC.

After School Enrichment Teacher 

Subject: English language / Maths / Sciences (Preferably can teach at least two subjects)
Location: Bukit Timah Plaza,  Thomson Plaza, Parkway Centre (Discuss the location during the interview but you will need to travel to multiple Centres when needed) 
Working days and time: Monday to Friday [During school term: 9.30am-7pm / During school holidays: shifts between 7am-7pm]
Salary: $2500-$3500

Job Description

A. Student Care

• Support the daily operations of the centre, including both administrative and teaching duties. 
• Ensure customer care experience for both prospective and existing clientele (from handling enquiries and collecting payments). 
• Ensure the overall safety of the learning environment•
• Prepare progress reports for students on a termly basis

B. Holistic Enrichment

• Prepare materials and deliver enrichment lessons for students on designated days. 
• Plan and facilitate special events and/or excursions during MOE-scheduled school holidays. 

C. Academic Teaching

• Deliver lessons for assigned classes (in-house curriculum provided). 
• Effectively utilise teaching materials to create a stimulating and engaging learning environment. 
• Mark and grade students’ assignments with value-added feedback. 
• Perform required classroom administration responsibilities. 
• Connect with students' parents through regular written and/or verbal feedback. 
• Participate in level meetings/subject-sharing sessions

Job Requirements:

• Must be able to teach one of the subjects from P1 to P6 (English language / Mathematics / Science). 
• Bachelor's degree or equivalent. 
• Familiar with latest MOE syllabus. 
• At least 2-3 years of teaching experience. 
• Have experience teaching in group settings (of between 4 to 12 students).