Total 5,526 Full-time research associate job vacancies in Singapore

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-%28Interdisciplinary%29%2C-ChBE/33228-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-%28Interdisciplinary%29%2C-ChBE/33230-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Fellows (or Post-doctoral Fellows) in the research group of Prof. Siowling Soh, at the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS).  

The group’s general program of research involves the coupling of organic materials, mechanical forces, and electrostatics at different interfaces (e.g., solid, liquid, or gas). This coupling is currently greatly under-explored and poorly understood in science. At the same time, the coupling gives rise to many fascinating new natural phenomena for exciting fundamental discoveries and development of impactful and original technologies. 

The general approach of the group is to conduct original programs and new directions of research with strong fundamental science. The group is highly interdisciplinary and involves engineering (e.g., fluid mechanics), materials science, chemistry, and physics. Different organic materials are used, including polymers (e.g., stimuli-responsive polymers), hydrogels, and covalent organic frameworks (COFs). 

One project involves an original system that harvests water energy from nature (e.g., rain and rivers) and directly generates electricity by solid-liquid charge separation with high energy conversion efficiency. Other projects involve clearing virus-laden atmospheric aerosols and preventing the spread of infectious diseases (e.g., COVID-19) and development of clean surfaces that do not adhere any dust on them. Another research involves stimuli-responsive polymers for small molecular separation, smart delivery, and intelligent soft machines.

A recent exciting and emerging field from our group is the development of novel mechanocatalysts for performing mechanochemical reactions with high energy conversion efficiency. Harvesting energy from mechanical forces of nature (e.g., wind or water flows) is a novel and sustainable approach to performing chemical reactions. 

Qualifications

The ideal candidate is preferably someone open-minded to conducting original fields of research, independent, and hardworking. Because the research of the group is highly interdisciplinary and many projects in different disciplines are ongoing, candidates with a Ph.D. from a wide range of backgrounds will be considered for different projects, including engineering (e.g., chemical, mechanical, etc), materials science, chemistry, and physics.  

For more information on the background of the research, please refer to: https://blog.nus.edu.sg/chessl/

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-%28Mathematics%29/33226-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst.  Prof. Julian Sester on developing mathematical methods for Distributionally Robust Reinforcement Learning.

The main responsibilities of the position include:
•    Developing rigorous mathematical foundations for distributionally robust reinforcement learning under model uncertainty; 
•    Studying robust Markov decision processes, dynamic programming principles, and convergence properties of robust learning algorithms; 
•    Designing and analysing reinforcement learning algorithms based on Wasserstein, Sinkhorn, or related ambiguity sets; 
•    Establishing theoretical guarantees such as stability, convergence, approximation error bounds, or sensitivity estimates; 
•    Implementing and testing proposed methods in numerical case studies, with possible applications in quantitative finance, stochastic control, or risk management; 
•    Preparing research manuscripts for publication in leading journals and presenting results at seminars, workshops, and conferences; 
•    Contributing to the research environment of the group, including discussions with PhD students, postdoctoral researchers, and collaborators.

Qualifications / Discipline:

•    PhD in Mathematics, Applied Mathematics, Statistics, Operations Research, Quantitative Finance, or a closely related discipline.

Skills:
•    Strong background in probability theory, stochastic processes, stochastic control, optimization, or reinforcement learning; 
•    Solid mathematical training and ability to work with rigorous proofs; 
•    Familiarity with Markov decision processes, dynamic programming, distributionally robust optimization, optimal transport, or reinforcement learning is highly desirable; 
•    Programming skills in Python are desirable, especially experience with numerical experiments, machine learning libraries, or reinforcement learning environments; 
•    Good written and oral communication skills; 
•    Ability to work independently and collaboratively in an interdisciplinary research environment. 

Experience:
•    Prior research experience in one or more of the following areas is desirable: reinforcement learning, robust control, stochastic control, distributionally robust optimization, optimal transport, mathematical finance, or machine learning; 
•    A track record of high-quality research, demonstrated through publications, preprints, or a strong PhD thesis; 
•    Experience with numerical implementation of mathematical or machine learning methods would be an advantage; 
•    Experience in quantitative finance or financial applications is welcome but not required.

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

Job Title: Research Officer

Working Days & Hours: Monday – Thursday: 8.30am – 6.00pm & Friday: 8.30am – 5.30pm⏰ (Including 1-hour break)

Job Responsibilities:

We are looking for a research engineer to customize and make our ground penetrating radar market ready. The role will focus on the hardware side of the project which involves the miniaturization of the GPR, antenna fabrication and integration, product improvement and customization for the market.

Key Responsibilities:

• Ground penetrating radar miniaturization, customization and integration

• Improve the product performance and make the product more appealing to the market

• Interact and coordinate with industry and customers to provide a service

• Present the product and explain the product well

• Help to raise funds for a spin-off and do marketing for the product.

• Other administrative duties as required.

Job Requirements:

• Bachelor qualification degree in Electrical and Electronic Engineering or related field

• At least some of relevant experiences in similar role / technical hands-on experience in hardware integration

• Familiarity with funding system in Singapore

• Good written and oral communication skills

• Proficiency in hardware integration, system programming

• Competent in hands-on work, presentation and fund raising.

• Interpersonal skill such as develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills.

• Entry level candidates are welcome to apply

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

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

• Conduct research in the area of control theory and machine learning

• Conduct experiments on different robotic platforms

• International collaborations in the above areas

• Publish papers in related top journals and conferences

Job Requirements:

• Bachelor’s degree in control theory, machine learning, robotics, or related field

• Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

• Good written and oral communication skills

• Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

• Entry level candidates are welcome to apply

We regret to inform you 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-Fellow-%28Mathematics%29/33227-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will work closely with the research team to develop advanced methods in Reinforcement Learning under Uncertainties for Reliable Autonomous Decision-Making in Finance. 

Primary responsibilities will include:
•    Data Management: Utilize proficiency in SQL, NoSQL, and vector databases to collect, clean, and manage data for research projects.
•    Research Assistance: Collaborate on research initiatives focused on decision-making in finance, applying quantitative finance and econometric methodologies to analyze data and develop models.
•    Machine Learning: Apply expertise in reinforcement learning and traditional machine learning algorithms to develop predictive models and optimal strategies.
•    Programming: Utilize skills in Python, TypeScript, and JavaScript, along with frameworks like PyTorch, to implement and test quantitative models.
•    Financial Expertise: Apply knowledge of finance, especially in risk management and equity markets, to contribute valuable insights to research projects.
•    Communicate research outcomes through peer-reviewed publications and other scholarly dissemination channels.

Qualifications / Discipline:

•    PhD in Mathematics/Statistics/CS. 

Skills:
•    Proficiency in reinforcement learning, quantitative finance, risk management, and machine learning.
•    Strong programming skill  in Python, TypeScript, and JavaScript, along with frameworks like PyTorch. 
•    Excellent problem-solving abilities and attention to detail. Strong written and verbal communication skills.

Experience:
•    Strong preference for candidates with peer-reviewed publications, patents, conference presentations, research grants, or industry R&D contributions.

We are looking for a Temporary Research Officer to support a short-term research project focused on child development and early life health outcomes.

Contract Period: 3 months
Working Hours: Mon-Thu: 8.30am to 6pm, Fri: 8.30am to 5.30pm
Location: Central region

What you will do:

• Perform basic statistical data analysis
• Conduct literature reviews and research support work
• Assist in writing and preparing research reports or publications
• Support administrative and coordination tasks for the research team

Requirements:

• Bachelor’s Degree in a relevant field (e.g. Biomedical Science or related disciplines)
• Interest in research and data analysis work
• Knowledge of R or SPSS is an advantage (not compulsory)
• Able to work independently and in a team

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Lim Zi Yu (Crystal) - R26159881

ScienTec Consulting Pte Ltd - 11C5781

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-AssistantAssociate-Centre-for-Sustainable-Medicine/27734-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Climate change is the defining challenge of this century, and healthcare is both a victim of climate change and a major contributor to it. The Centre for Sustainable Medicine (CoSM) at the National University of Singapore works at the frontier of policy, clinical systems, and global health to accelerate the transition to low-carbon, climate-resilient health systems across Asia and worldwide.

Purpose of the Post

We invite applications from a dynamic, experienced professional to help advance CoSM’s research priorities and to strengthen the real-world uptake of the Centre’s work.

The postholder will work across the Centre’s major workstreams - including health system carbon analytics, clinical transformation, and capacity building - ensuring that research and technical evidence are synthesised, interpreted, and translated into decision-ready outputs for policymakers, health system leaders, clinicians, partners, and other stakeholders.

This is a cross-cutting role at the interface of research, policy, and implementation. The successful candidate will play a leading role in converting evidence into high-impact products, supporting policy feedback cycles, and strengthening lessons from implementation and stakeholder engagement to inform the Centre’s future research.

Key Responsibilities and Roles

1. Research synthesis, analysis, and translation

• Contribute to the development of research outputs, including reports, peer-reviewed publications, technical analyses, and policy papers.
• Support the analysis and interpretation of research findings from CoSM projects, including emissions baselines, adaptation and mitigation strategies, health system analytics, and education initiatives.
• Translate research outputs into clear and actionable products for policy and practice, including policy briefs, executive summaries, technical guidance, and knowledge products.
• Identify cross-cutting insights from CoSM’s body of work and shape coherent evidence narratives that communicate the Centre’s contribution to global sustainable healthcare transformation.
• Support the preparation of academic publications, including drafting sections of manuscripts, coordinating co-author inputs, and assisting with reference management and editorial processes.

1. Policy feedback and implementation learning

• Support the policy feedback cycle by gathering and synthesising insights from governments, delivery partners, clinicians, and other stakeholders on how evidence is being received, interpreted, and applied.
• Help ensure that lessons from implementation and engagement feed back into research framing, future analysis, and programme development.
• Facilitate structured dialogue between research teams and policy or practice stakeholders to strengthen the relevance, usability, and timing of CoSM outputs.
• Support the development and coordination of communities of practice across Asia-Pacific and globally, particularly in areas such as net zero healthcare, climate-resilient health systems, and health system decarbonisation.

1. Knowledge and evidence dissemination

• Support dissemination of research through regional and global platforms, including technical forums, convenings, policy roundtables, and academic or professional events.
• Prepare high-quality briefing materials, concept notes, slide decks, summary papers, and dissemination products for international events, multilateral engagements, and senior partner discussions.
• Develop accessible summaries and tailored synthesis materials for different stakeholder groups, including ministries of health, hospital leaders, clinicians, finance stakeholders, academic audiences, and learners.
• Support the strategic positioning of CoSM’s flagship initiatives by ensuring clarity, consistency, and strong evidence-based narratives across written, digital, and presentation materials.

Qualifications

Essential

• A Bachelor’s degree or Master’s degree in public health, health policy, health systems, environmental health, economics, social policy, or a related field.
• 3-8 years of experience in research, public policy, evidence synthesis, policy-facing roles, or related functions.
• Demonstrated ability to interpret and translate complex technical or research material into clear, structured, and compelling outputs for varied audiences.
• Strong analytical and writing skills, with excellent editorial judgement and the ability to distil evidence without oversimplifying it.
• Experience working with multidisciplinary teams and engaging senior stakeholders across research, policy, and implementation settings.
• Strong organisational skills and ability to manage multiple workstreams simultaneously.

Highly desirable

• Experience working with governments, multilateral organisations, or large health systems.
• Familiarity with climate, sustainability, or health system transformation agendas.
• Experience working at the interface of research, policy, and implementation.
• Experience supporting dissemination of research through policy products, technical guidance, publications, or high-level stakeholder briefings.
• Experience supporting regional or international partnerships.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Jit Sohal, Head of Strategy and Impact, at joincosm@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to the NUS Career Portal. 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-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

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-Associate-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

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

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

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

Duties and Responsibilities

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

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

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-%28Sustainable-Concrete-Materials%29/33278-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering (CEE) at the National University of Singapore (NUS) is seeking a Research Fellow to join a high-impact project on the use of limestone aggregates and fines as alternative materials for concrete production in Singapore.

The project, “Enhancing Concrete Resilience in Singapore: Evaluating Limestone as an Alternative for Concrete Applications,” aims to assess the feasibility, performance, durability, sustainability, and cost-effectiveness of limestone-based concrete. The research will support Singapore’s efforts to diversify construction material sources, strengthen supply-chain resilience, and develop more sustainable concrete solutions.

About the Role
The Research Fellow will work with a multidisciplinary NUS team and industry partners to evaluate limestone aggregates and fines for structural concrete applications. The work will cover material characterisation, concrete mix design, mechanical and durability testing, recyclability, cost analysis, and potential long-term field monitoring.

This role is well suited for candidates with expertise in concrete technology, cementitious materials, aggregate characterisation, durability, sustainable construction materials, or structural concrete testing.

Key Responsibilities:
The Research Fellow will contribute to:

•    Characterising limestone aggregates and fines from different regional sources and comparing them with conventional granite aggregate, natural sand, and granite fines.
•    Designing and optimising concrete mixes incorporating limestone materials for commonly used concrete grades, including C32/40, C40/50, and up to C50/60.
•    Testing fresh concrete properties such as workability, slump retention, stability, and fresh density.
•    Evaluating hardened concrete performance, including compressive strength, tensile strength, flexural strength, elastic modulus, creep, shrinkage, and density.
•    Assessing durability performance, including alkali–aggregate reaction, sulphate and acid attack, chloride ingress, carbonation, permeation, and elevated-temperature behaviour.
•    Supporting reinforced concrete specimen testing, non-destructive testing, recyclability studies, and cost analysis.
•    Contributing to technical reports, journal publications, conference papers, and practical guidelines for industry adoption.

Why Join Us?
This is an opportunity to contribute to a nationally relevant research project with direct impact on Singapore’s construction-material resilience and sustainability. Successful candidates will work closely with leading researchers, industry partners, and public-sector stakeholders to generate practical solutions for future concrete production.

The role offers strong opportunities for high-quality publications, industry engagement, technical guideline development, and real-world research translation in the areas of sustainable concrete, infrastructure resilience, and circular construction materials.

Job Requirements

•    Possess a PhD in Civil Engineering, Geology, Cement Chemistry, Construction Materials, or a closely related field.
•    Strong background in concrete durability, cementitious materials, aggregate degradation, or infrastructure materials.
•    Hands-on experience in durability testing of concrete or mortar.
•    Understanding of durability mechanisms such as ASR, ACR, sulphate attack, carbonation, chloride ingress, acid attack, or thermal degradation.
•    Experience with microstructural or chemical characterisation techniques, such as petrography, XRF, XRD, SEM, TGA, MIP, or related methods.
•    Strong analytical, experimental, and scientific writing skills.
•    Ability to manage multiple experimental workstreams and maintain high-quality research documentation.
•    Strong written and spoken communication 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-%28Sustainable-Concrete-Materials%29/33279-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Civil and Environmental Engineering (CEE) at the National University of Singapore (NUS) is seeking a Research Fellow to join a high-impact project on the use of limestone aggregates and fines as alternative materials for concrete production in Singapore.

The project, “Enhancing Concrete Resilience in Singapore: Evaluating Limestone as an Alternative for Concrete Applications,” aims to assess the feasibility, performance, durability, sustainability, and cost-effectiveness of limestone-based concrete. The research will support Singapore’s efforts to diversify construction material sources, strengthen supply-chain resilience, and develop more sustainable concrete solutions.

About the Role
The Research Fellow will work with a multidisciplinary NUS team and industry partners to evaluate limestone aggregates and fines for structural concrete applications. The work will cover material characterisation, concrete mix design, mechanical and durability testing, recyclability, cost analysis, and potential long-term field monitoring.

This role is well suited for candidates with expertise in concrete technology, cementitious materials, aggregate characterisation, durability, sustainable construction materials, or structural concrete testing.

Key Responsibilities:
The Research Fellow will contribute to:

•    Characterising limestone aggregates and fines from different regional sources and comparing them with conventional granite aggregate, natural sand, and granite fines.
•    Designing and optimising concrete mixes incorporating limestone materials for commonly used concrete grades, including C32/40, C40/50, and up to C50/60.
•    Testing fresh concrete properties such as workability, slump retention, stability, and fresh density.
•    Evaluating hardened concrete performance, including compressive strength, tensile strength, flexural strength, elastic modulus, creep, shrinkage, and density.
•    Assessing durability performance, including alkali–aggregate reaction, sulphate and acid attack, chloride ingress, carbonation, permeation, and elevated-temperature behaviour.
•    Supporting reinforced concrete specimen testing, non-destructive testing, recyclability studies, and cost analysis.
•    Contributing to technical reports, journal publications, conference papers, and practical guidelines for industry adoption.

Why Join Us?
This is an opportunity to contribute to a nationally relevant research project with direct impact on Singapore’s construction-material resilience and sustainability. Successful candidates will work closely with leading researchers, industry partners, and public-sector stakeholders to generate practical solutions for future concrete production.

The role offers strong opportunities for high-quality publications, industry engagement, technical guideline development, and real-world research translation in the areas of sustainable concrete, infrastructure resilience, and circular construction materials.

Job Requirements

•    Possess a PhD in Civil Engineering, Geology, Cement Chemistry, Construction Materials, or a closely related field.
•    Strong background in concrete durability, cementitious materials, aggregate degradation, or infrastructure materials.
•    Hands-on experience in durability testing of concrete or mortar.
•    Understanding of durability mechanisms such as ASR, ACR, sulphate attack, carbonation, chloride ingress, acid attack, or thermal degradation.
•    Experience with microstructural or chemical characterisation techniques, such as petrography, XRF, XRD, SEM, TGA, MIP, or related methods.
•    Strong analytical, experimental, and scientific writing skills.
•    Ability to manage multiple experimental workstreams and maintain high-quality research documentation.
•    Strong written and spoken communication skills. 
•    Open to fixed-term contract. 

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.

• Write, publish and disseminate results, including give research presentations at meetings.

• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers

• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

• Represent the research group at external meetings / seminars, either with other members of the group or alone.

• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.

• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.

• Work with industry and government partners to understand their research needs and formulate solutions.

• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.

• Help organise and actively participate in regular meetings and seminars within the group.

• Assist in raising research funds through grant applications.

• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.

• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.

• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.

• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.

• Ability to independently plan and manage a research project, including a research budget.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.

• Experience of managing a research budget.

• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.