Total 4,356 job vacancies in Singapore

Not a desk job.
Not a “reply emails all day” role.

If you’ve got energy, personality, and want more out of life — keep reading.

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.

Want a role where your effort directly impacts your income and career growth? 

About the Role

We are seeking a passionate and sales-driven Part-time Retail Sales Associate to join our fashion and lifestyle store. You will deliver excellent customer service, drive sales, and support daily store operations in a dynamic retail environment.

Responsibilities

• Proactively engage customers and perform push sales to achieve targets
• Assist customers with product selection and styling advice
• Build and maintain relationships with repeat customers
• Handle POS transactions accurately
• Maintain store cleanliness, merchandising, and stock organization
• Receive, replenish, and track inventory
• Support product displays and promotions
• Assist with store social media updates (IG/FB/TikTok)
• Work closely with the team to improve sales performance
• Flexible to shift reschedule based on business needs

Requirements

• Strong communication and interpersonal skills
• Sales-oriented, positive, and self-motivated

What We Offer

• Competitive salary
• Employee discounts
• Supportive and inclusive team culture

About Royal Org

Royal Org is a fast-growing outsourced sales and marketing company specializing in brand and marketing.

We partner with clients across industries, including lifestyle, energy, NGOs and FMCG, to boost brand awareness and drive measurable results!

Why Join Us

• Clear and fast career progression

• ⁠Supportive, dynamic, and ambitious team culture

• ⁠Comprehensive training and 1-to-1 mentorship provided

• ⁠Team events and travel opportunities

• ⁠No prior experience needed

What You’ll Do

• Represent major brands through in-person marketing campaigns

• ⁠Engage customers and build strong relationships

• ⁠Collaborate with your team to grow together

• ⁠Learn and implement effective sales and marketing strategies

At Royal Org, we value passion, professionalism, and potential.

If you’re driven to learn, grow, and achieve, apply now to start your career with us!

(Only shortlisted candidates will be contacted.)

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.