Total 10,181 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

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%29/32619-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-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.

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.

Bereavement Service - Assistant Director

• Office Location: Geylang Bahru, Singapore
• Working Hours: Mon – Fri/Sat 8.00am – 5.00pm
• Monthly Salary: basic up to $3500 + Commissions + Variable Bonus (VB)
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a long‑established provider of services, with a strong heritage built over many years. It has grown into a group offering a range of products and services designed to meet diverse customer needs. With multiple brands and offices, the company continues to focus on delivering quality, care, and reliability to the communities it serves.

Responsibility

• Manage call centre hotlines, respond to enquiries promptly, and ensure timely follow-up on service requests.

• Coordinate funeral arrangements with accuracy, professionalism, and sensitivity to clients’ needs.

• Engage with clients through in-office consultations, on-site visits, and virtual meetings to discuss service arrangements.

• Assist in coordinating the transfer of the deceased to designated funeral homes in accordance with procedures.

• Work closely with Operations and Finance teams to ensure smooth service delivery and proper documentation.

• Perform administrative and ad-hoc duties as assigned to support departmental operations.

Requirement

• Have sales experience in the same or bank/insurance industry is an added advantage
• Possess a valid Singapore Class 3 driving license is and added advantage
• Willingness to work overtime and perform night standby duties when required.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678

Visit https://ourengineers.com

Job Description: HR Assistant/Officer

Key Responsibilities:

• Employee Change ProcessesEnsure timely and accurate completion of appraisal forms for confirmations and contract terminations.
  Manage exit clearance procedures for departing employees.
  Prepare confirmation letters, acceptance of resignation documents, and other related correspondence.
  
• Permit RenewalsHandle the renewal of various permits, including Work Permits (WP), S Passes (SP), Employment Passes (EP), etc.
  
• ReportingSubmit periodic reports as required.
  
• Payroll and ExpensesCalculate monthly payroll and process expense claims.
  
• Ad-Hoc DutiesAssist with any additional tasks assigned by the HR Manager.
  

Job Requirements:

• Minimum GCE 'O' Level
• Experience in payroll processing is preferred.

Job ID: 20181

• Location: Pioneer (Company transport provided)
• Working hours: 8.30am - 5.30pm
• Salary: up to $3,500 (Depending on experiences)

Job Description

Facilitating shipment arrangements by collaborating with the Planning Logistic Team and ensuring readiness with the Warehouse team. You're responsible for preparing essential shipment documents, conducting thorough checks on shipments, managing incoming material purchase orders in SAP, and overseeing material reception into the Warehouse Management System (WMS).

1) Liasing with Planning Logistic Team on shipment arrangement

2) Coordinating with Warehouse team on shipment readiness

3) Preparing necessary shipment documents eg Property Release Note

4) Performing check on physical & documentation of shipment to ensure all in order

5) Checking incoming material PO in SAP and receiving incoming material into WMS

6) Any other duties as assigned by Superior.

Job Requirement

1) Diploma in Logistic / Supply Chain Management

2) At least 1-2 years relevant experience would be required

3) Good communication, planning and negotiation skills

4) Good analytical and people management skills

5) Proficient in Microsoft Office applications

6) Proficient in Advanced Excel

7) Knowledge in SAP and WMS applications is advantageous

Interested applicants, kindly send your updated resume to Joanne (R21101135) Joanne@pasona.com.sg with the email subject header "Job Application for "20181, Assistant Planner".

Only shortlisted candidates will be notified, other applications will be updated to our database for future job opportunities.

By submitting any resumes or applications to Pasona Singapore Pte Ltd, you are considered to have read and agreed on the terms of our Privacy Policy, and consented to us collecting, using, retaining, disclosing your personal information to the prospective employers for their consideration.

Please find Privacy Policy Agreement from the below link.

http://www.pasona.com.sg/privacy.html

Pasona Singapore Pte Ltd

Joanne Yeo Min Qian
EA License No:90C4069

Registration No.: R21101135

Job Description

• Industry/ Organization Type: Management Consultancy
• Position Title: Warehouse Assistant (Packer)
• Working Location: West Region
• Working Hours: 6 working days (Monday-Friday,8AM – 5PM; Sat9AM – 6PM)
• Salary Package: Basic salary + Meal Allowance + Transport Allowance + Attendance Bonus + AWS
• Duration: Permanent

Key Responsibilities

• Pick and pack items according to delivery orders and packing lists
• Sort and label goods accurately before dispatch
• Perform quality checks to ensure correct quantity and condition of items
• Assist with loading and unloading of goods
• Ensure proper wrapping and secure packing of products to prevent damage
• Maintain cleanliness and organization of the warehouse
• Conduct basic stock checks and report discrepancies
• Follow workplace safety procedures and company guidelines
• Support other warehouse duties as assigned

APPLY NOW!!!

• 1 year of experience in warehouse, packing, or logistics work will be an advantage
• Able to handle physical tasks and carry items of up to 10 kg
• Comfortable working in a cold-room environment
• Basic unit conversion skills (e.g: converting kilograms to grams) to support accurate weighing and packing

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #82853 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Responsibilities:

• Manage the issuance, matching and reconciliation of receipts for agents and brokers including handling refunds and resolving discrepancies.
• Record transactions accurately in PASIA, SUN and Premium systems, and process claim recovery receipts
• Reconcile deposit reports with payment records and prepare.
• Maintain daily banking slips and collection reports.
• Issue rental-related receipts and payments, and support mailing, billing and general administrative functions.
• Liaise with agents and agencies regarding fees and collections, take on coverage duties for colleagues during absences.
• Any other duty or assignment as and when instructed by the superior.

Requirements:

• Preferably with minimum 1 year working experience.
• Prepare to take up Certificate In General Insurance (CGI) exam if required.
• Performs routine tasks with precision, dependability and discretion.
• Good interpersonal skill and actively contribute in team discussions.
• Committed to meeting customer needs and solving problems proactively.
• Dependable, responsible and goal-oriented.