Total 483 Science / R&D / Research job vacancies in BUKIT PASIR

The Biomedical Data Hub (BDH) curates and maintains strategic deidentified health data cohorts and supports researchers and innovators with expertise in bioinformatics and A.I. Its mission is to act as a trusted research node that unlocks the value of digital health data to support cutting edge science and digital health solutions that will benefit Singapore and Singaporeans. BDH is a national initiative created by Singapore's Bioinformatics Institute and hosted by the Agency for Science Technology and Research (A*STAR) in partnership with Ministry of Health (MOH) Singapore and is funded by Singapore's National Research Foundation (NRF). 

Description:

As Senior Manager / Assistant Director - Partnerships and Product, you are responsible for shaping BDH's product and services offerings. Your ability to deeply understand user needs, both stated an unstated, and translate those into technical requirements are critical to your success. You also possess excellent judgement when it comes to prioritizing the product and services development pipeline. 

You are a systems thinker and excellent communicator who can strike a balance between speed and compliance. Your work will bring together users, developers, and operations teams.

Responsibilities:

• Maintain an up-to-date pipeline of data cohorts that could be supported by BDH by surveying local and overseas scientific and innovation activities
• Maintain and drive BDH product and development roadmap
• Map user journeys and workflows for entire data lifecycle and define standard processes for data on-boarding, management, analysis and off-boarding
• Create specifications for development and services teams to implement
• Create and maintain controlled forms and document templates
• Create and maintain standard toolset for BDH analytical environment

Requirements:

• Degree in Science, Biomedical Engineering, Business Administration or related field
• Strong people skills
• Detailed and process oriented
• Excellent written and spoken communication skills
• Basic financial and accounting literacy, including the ability to conduct benefit/cost analysis
• MS Office proficiency (esp. MS Excel and PowerPoint)
• Previous product management and/or services management experience a plus
• Working knowledge of data science / analytics software (e.g. R, Python) and related libraries 
• Previous experience in bioinformatics and/or data science strongly desired

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/Software-Engineer-%28Cancer-Science-Institute%29/32400-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

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-%28Surgery%29/32437-en_GB/?st=C164281FA4432A38DE2689B3AAF288E00623F23F

We regret that only shortlisted candidates will be notified.

Job Description

Cardiovascular disease remains the top killer and accounts for one third of death worldwide. We are looking for a highly motivated Research Fellow candidate aiming at identifying new therapeutic targets and developing engineered extracellular vesicle or lipid nanoparticle-based RNA delivery system for treatments of cardiovascular diseases in the Yong Loo Lin School of Medicine at National University of Singapore. The candidate is expected to work independently in a dynamic and multidisciplinary environment. The candidate will perform a variety of molecular cell biology assays, drug formulations and in vivo experiments in mice, ranging from daily care to surgical procedures and the interpretation of the results. Apart from own projects, the candidate may supervise junior staff and students, and provide support to the research group, as delegated by the PI. The appointment is on a 1-year contract base in the first instance with a possibility of extension. The candidate will be responsible to, and work closely with, the PI and study team members to ensure the successful completion of the experiments in time.

The candidate will organize and coordinate the experiments, analyze the data, write up experiment reports and manuscripts for publication in time.

The candidate will be able to:

1. Oversee the general management of the project; 
2. Work independently: conduct literature search, design and perform experiments, analyze data, prepare both progress and final reports of the project, and write up manuscripts
3. Maintain the highest standard of professional conduct and record-keeping in accordance with policies and procedures; 
4. Provide daily supervision to junior staff or students when necessary
5. Provide support to the research group, including grant applications, as delegated by the PI.

Qualifications

1. A PhD degree in pharmacology or biomedical research; prior postdoctoral work experience is preferable.
2. An excellent publication record in drug delivery or nanomedicine.
3. A strong expertise in engineered extracellular vesicle design or lipid nanoparticle synthesis, with extensive experience in animal studies.
4. Ability to work independently and in a team, an investigative nature and attention to details.

Remuneration will be commensurate with the candidate’s qualifications and experience. The candidate is eligible for NUS staff welfare including medical insurance.

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/Software-Engineer-%28Cancer-Science-Institute%29/32401-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Cancer Science Institute of Singapore (CSI), part of the National University of Singapore (NUS), is seeking a skilled Software Engineer to join the Genomics and Data Analytics Core (GeDaC).

GeDaC operates a petabyte-scale “Data Nexus” that underpins a production AI Factory for cancer and human disease research. As a Software Engineer, you will focus on building robust, scalable applications and platforms that enable researchers and engineers to seamlessly interact with large-scale data systems.

Key Responsibilities

• Design, develop, and maintain internal web-based platforms and tools that enable researchers to access, query, and manage large-scale genomic and clinical datasets.
• Build and maintain scalable, secure APIs and backend services that interface with data lakes, metadata databases, and compute pipelines.
• Develop intuitive and responsive user interfaces that simplify complex data workflows and improve user experience for researchers and engineers.
• Work closely with the Big Data and HPC teams to integrate applications with data ingestion pipelines, storage systems, and compute workflows (e.g., Nextflow, Kubernetes).
• Ensure applications are optimized for high performance, reliability, and scalability in a petabyte-scale environment.
• Implement and maintain CI/CD pipelines, containerization (Docker), and deployment workflows to ensure efficient and reliable software delivery.
• Incorporate secure authentication, authorization, and data access controls aligned with institutional and regulatory requirements.
• Partner with researchers, data engineers, and stakeholders to translate complex requirements into practical, scalable software solutions.

Qualifications

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field
• Proven experience in software development, preferably in data-intensive or platform environments

Technical Skills

• Strong understanding of software architecture, testing, and version control (Git)
• Experience with CI/CD pipelines and DevOps practices
• Ability to write clean, maintainable, and well-documented code

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-cQED-devices/32435-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

Consolidate studies associated with using strong parametric drives to engineering coupling between two or three quantum harmonic oscillators, and training new members on how to fabricate superconducting cqed devices. 

Qualifications

• Comprehensive knowledge of the team’s infrastructure, tools, and standard workflow in the lab.
• In-depth experience on designing and testing cQED devices. 

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-in-Quantum-Computing/32392-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

The successful candidate will drive research at the intersection of Condensed Matter Theory, Quantum Computing and Quantum Information Science to generate insights for fault-tolerant quantum computing. The successful candidate is expected to: 

• Leverage deep theoretical insights in many-body physics and integrable systems to design and simulate circuits for robust state preparation and error-mitigation
• Design and execute experiments for state preparation and error-mitigation
• Analyze complex datasets and maintain meticulous records of methodologies and findings
• Author high-quality manuscripts for peer-reviewed journals and present research at international conferences
• Contribute to the drafting of presentations, research proposals and grant applications to secure future funding

Qualifications

• PhD in Theoretical Physic specializing in condensed matter theory, or closely related fields 
• Experience translating the theories of many-body physics and integrable systems, or related topics, into quantum computing applications is preferred
• Proficiency in Python (required) and/or other programming languages
• Experience with Guppy and/or know-how using the Quantinuum quantum software stack 
• A strong record of research productivity evidenced by first-author publications in reputable, peer-reviewed journals.
• Able to work both as an independent researcher and in multidisciplinary team environment

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

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-%28Relative-smooth-optimization-theory%29/32393-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

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-%28Medicine%29/32404-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is inviting applications for a Research Assistant position in the Department of Medicine at the Yong Loo Lin School of Medicine. The selected candidate will join a team of scientists led by Research Assistant Professor Koh Cho Yeow at the Cardiovascular Research Institute (CVRI). CVRI is committed to addressing cardiovascular diseases through laboratory-based research, clinical studies, clinical trials, health services research, as well as prevention and epidemiology research. We also collaborate with international centers on multinational, multi-center basic and clinical trials. Additionally, we engage in outcomes-related research to establish standards for evidence-based best medical practices in Singapore.

Research Assistant Responsibilities: The Research Assistant will be responsible for studying the mechanism of action, pharmacodynamics, and pharmacokinetics of peptides designed in our laboratory for treating cardiovascular diseases. Additional duties include supporting other collaborative projects and managing related animal and laboratory safety tasks under the supervision of the principal investigator and research fellows.

Main Duties and Responsibilities

Main Duties:

• Design, synthesis and purification of bioactive peptides and proteins.
• In vitro and cell-based assays for functional characterizations of peptides and proteins.
• Prepare and execute surgical protocols involving animals (rodents and rabbits).
• Study the molecular mechanisms behind the pharmacological effects of peptides using animal tissues and cells.
• Supervise and mentor undergraduate students as appropriate.
• Collaborate with colleagues on various projects.
• Present scientific work at seminars and conferences, and draft scientific articles.
• Share responsibilities for laboratory housekeeping and maintenance.
• Ensure safety in the laboratory in collaboration with others.
• Perform additional duties as required to ensure the efficient and smooth operation of the group.

Qualifications

• A master's degree or equivalent in a relevant field of study, or soon to be conferred.
• Familiarity and hands-on experience with peptide design, synthesis, and purification.
• Proficient in basic molecular biology techniques and bioinformatics, including transcriptomic and metabolomic analyses.
• Experience in culturing cardiomyocytes, endothelial cells, fibroblasts, and vascular smooth muscle cells is desirable.
• A good team player who is independent, self-driven, and possesses strong interpersonal skills.
• Willingness to explore new frontiers and learn with a positive attitude.
• An intention to pursue PhD study in the near future.
• Strong computer skills for data analysis and organization.

Applications should include a full curriculum vitae and the names and contact information of three referees. We regret that only shortlisted candidates will be notified.

Chugai Pharmabody Research Pte. Ltd.(“CPR”) was established in Singapore as a wholly-owned subsidiary of ChugaiPharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 andstarted operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’sproprietary antibody engineering technologies, such as recycling antibody®,sweeping antibody®, bispecific antibody, various Fc engineered antibodies, andother new antibody engineering technologies that are under development.

Research Assistant (Internship)–Translational Pharmacology Unit

Focus: Animal Husbandry (50%) | Research Support (50%)
(RCULA certification preferred / to be obtained during internship)

Role Overview

This Research Assistant Internship is designed for students seeking foundational exposure to preclinical research and laboratory animal science within a regulated research environment.

The intern will be embedded within the Animal Facility (AF), where animal husbandry and facility operations serve as a learning platform to understand how high‑quality animal care underpins reproducible in vivo research. Under close supervision, the intern will be introduced to basic in vivo research support activities, documentation practices, and compliance requirements.

Given the short internship duration, this role places emphasis on learning, observation, and assisted execution rather than independent or advanced experimental work, while providing hands‑on exposure to animal facility operations, animal welfare practices, and preclinical research support.

Job Scope:

• Support daily animal care, welfare observations, and basic facility operations under guidance.
• Maintain accurate husbandry, task, and basic inventory records.
• Observe and assist in routine in vivo research procedures under supervision.
• Provide preparatory and post‑procedure support for ongoing studies, appropriate to training level.
• Learn how study protocols, documentation, and facility operations support preclinical research.

Requirements

• Interest in laboratory animal care, biomedical research, or life sciences
• Willingness to perform hands‑on husbandry and cleaning tasks
• Ability to follow SOPs and maintain accurate records
• Good teamwork and communication skills.
• Responsible, detail‑oriented, and safety‑conscious
• Comfortable working with animals (mice and rabbits)

Preferred Attributes

• Currently pursuing or recently completed a Bachelor’s degree in Life Sciences, Biomedical Science, or related fields.
• RCULA certification (or willingness to obtain during internship)
• Prior exposure to animal facilities or laboratory environments
• Detail-oriented with a strong sense of curiosity and critical thinking.

What You Will Gain

• Practical experience in laboratory animal husbandry and welfare
• Exposure to regulated research environments and compliance practices
• Hands‑on support in preclinical research procedures
• Training in SOPs, facility operations, and quality documentation
• Mentorship from experienced animal facility and research staff

Fresh graduates with keen interest in in-vivo pharmacology are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed 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/Assistant-Professor-in-Immunology-Translational-Research-Program-%28ITRP%29/32383-en_GB/

We regret that only shortlisted candidates will be notified.

Key Responsibilities

• Establish an independent, externally funded research program in immunology with an emphasis on translational approaches.
• Conduct cutting-edge research that contributes to ITRP’s goals, including vaccine development, antimicrobial resistance, pathogen-host interactions, anti-tumor immunity, immune ageing, and public health interventions.
• Collaborate with interdisciplinary teams including clinicians, scientists, and other stakeholders to drive impactful research.
• Mentor and supervise undergraduate, graduate, and postdoctoral researchers.
• Teach undergraduate and graduate-level courses in areas related to microbiology or immunology, anchored under the Department of Microbiology & Immunology.
• Publish high-quality, peer-reviewed research in leading journals and present findings at national and international conferences.
• Actively participate in ITRP’s events, workshops, and outreach activities.

Qualifications

Essential:

• PhD, MD, or equivalent, with at least three years of postdoctoral experience in microbiology, immunology, epidemiology, or a related field.
• Proven track record of research excellence as evidenced by first author original high impact publications.
• Strong potential to secure competitive external funding.
• Expertise in translational research methodologies.
• Demonstrated ability to work collaboratively in interdisciplinary teams.
• Excellent communication and leadership skills.

Desirable:

• Experience in teaching and curriculum development at the graduate level.
• Experience in mentoring and supervising research trainees.
• Research experience in neutrophil biology, microbial infection, and sepsis.
• Familiarity with regulatory and ethical requirements for translational research.

.

What We Offer

• Access to state-of-the-art research facilities and core resources.
• Opportunities for collaboration with leading researchers.
• Competitive salary and comprehensive benefits package.
• A supportive environment fostering career development and advancement.
• Opportunities to engage in impactful, translational research that addresses pressing global health challenges.

Application Process

Applicants should submit the following:

• A cover letter outlining their research and teaching interests.
• A detailed curriculum vitae (CV).

• A statement of research accomplishments and future plans.
• A statement of teaching philosophy.
• At least three professional references.

Applications will be reviewed on a rolling basis until the position is filled.

About Immunology Translational Research Program

The Immunology Translational Research Program (ITRP) at the National University of Singapore (NUS) is driven by a vision to transform medicine through immunological research and a mission to advance collaborative, cutting-edge science that harnesses the immune system to improve human health. Grounded in the belief that a deep understanding of immune mechanisms is essential for preventing, diagnosing, and treating disease, ITRP fosters a highly collaborative and interdisciplinary environment where scientists and clinicians work together to generate impactful discoveries. Looking ahead, ITRP aims to establish itself as a leading centre for immunology in Southeast Asia by strengthening cross-institutional collaboration, partnering with hospitals to bring research from bench to bedside, and attracting and training the next generation of immunologists and clinician-scientists. Through these efforts, the programme strives to deliver meaningful advances that benefit patients and public health across the region.

About Department of Microbiology and Immunology

The Department of Microbiology and Immunology has distinguished itself in biomedical research and has a broad spectrum of expertise. Research in the Department encompasses very diverse questions and uses a wide variety of approaches, experimental systems, and techniques. Principal Investigators of the Department are internationally recognized for research on immunology, medical virology, bacteriology, parasitology, molecular biology and biotechnology.

About NUS Yong Loo Lin School of Medicine

The NUS Yong Loo Lin School of Medicine is Singapore’s oldest and Asia’s top medical school, celebrating its 125th year anniversary in 2025. Today, the school produces cutting edge and impactful research, together with innovative education, seeking to impact change and enhance the practice of medicine in Singapore and beyond. The School is an integral part of a comprehensive university (NUS), with deep collaborative platforms across engineering, computer science, social science, public health, and others, and a long standing joint venture in the National University Health System (NUHS). The NUHS ecosystem is Singapore’s premier Academic Health Centre, encompassing three tertiary hospitals (National University Hospital, Ng Teng Fong Hospital and Alexander Hospital), three national specialist centres (National University Heart Centre, National University Cancer Institute and National University Centre for Oral Health), a primary care system and three health schools (medical school, dental school and school of public health), lending invaluable resource for clinical and translational research, not commonly found elsewhere. Together with other healthcare partners and research institutes in Singapore, the school is an important player in Singapore’s vibrant research and biotech ecosystem.

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%2C-School-of-Computing/32398-en_GB/?st=86BAFC77ADD4E6D238EB62D96C91F5FFCD67C1A4

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are looking for Research Fellow in the area of Automatic Programming. This position will be part of a Singapore Ministry of Education (MoE) Tier 3, multi-year research program named "Automated Program Repair" which has been funded 2022-2027. This is a large research program involving several research projects in analysis, verification, test generation and applications related to program repair. To see work done on program repair at NUS, kindly see the webpage https://nus-apr.github.io/ The work will involve assured autonomy in software engineering by building on the recent success of the group in building AutoCodeRover, see https://arxiv.org/abs/2404.05427 https://x.com/AbhikRoychoudh1/status/177749400 0611852515?mx=2. 

Qualifications

• Ph.D. in Computer Science or a closely related field.
• Has prior research experience in machine learning and static methods for program repair
• Excellent research skills, including data analysis, interpretation, and scientific writing.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks effectively. 

Only shortlisted candidates will be notified.

This is a 2-year contract position as a Lead R&D Engineer in the Centre for Environmental Sustainability.

Job Description

Your responsibilities will include, but are not limited to, the following:

• Lead thermo‑mechanical system design at component, sub‑assembly, and system levels
• Design, analyse, and optimise thermofluid systems such as HVAC, cooling systems, heat exchangers, and energy recovery systems
• Develop project scope, define system requirements, and prepare technical proposals for industry consultancy projects
• Apply thermodynamic and heat transfer principles to solve real‑world industrial and building energy problemsConduct system modelling, simulation, and performance analysis to support design decisionsSupport fabrication, testing, commissioning, and performance improvement of deployed systems
• Collaborate with embedded software and electrical engineers on integrated system solutions
• Conduct applied R&D to develop and translate new technologies aligned with CFES’ technology roadmapDeliver training to industry partners through formal short courses or as part of consultancy engagements

Requirements

• Degree in Mechanical Engineering, with at least 5 years of relevant industrial experience
• Strong foundation in thermodynamics, heat transfer, and fluid mechanics, with demonstrated applied experience
• Hands‑on experience in thermal and thermofluid system design, analysis, and optimisation
• Proficiency in CAD and design tools such as SolidWorks; experience with simulation tools (e.g. CFD, FloMASTER) would be an advantage
• Experience in HVAC, chilled water systems, refrigeration, or energy systems is highly desirable
• Familiarity with energy performance evaluation and IPMVP protocol would be an advantage
• Experience in applied R&D, consultancy services, or industrial system deployment
• Ability to coordinate effectively with staff, student interns, and industry collaborators
• Strong analytical, problem‑solving, and systems‑thinking skills
• Good written and oral communication skills

This is a 2-year contract position as a Lead R&D Engineer in the Centre for Environmental Sustainability.

Job Description

Your responsibilities will include, but are not limited to, the following:

• Lead the design and development of embedded control systems for industrial and building energy applications
• Architect control systems at component, sub‑assembly, and system level, including controller selection, I/O design, and communication architecture
• Develop and implement control software using PLC platforms and high‑level programming languages (e.g. C++, C#, Python)
• Integrate sensors, actuators, and field devices using common industrial communication protocols (e.g. Modbus, BACnet)
• Define system requirements, design project scope, and prepare technical proposals for industry consultancy projects
• Collaborate across mechanical, electrical, and thermal domains to deliver integrated system solutions
• Conduct applied R&D to develop and translate new technologies in line with CFES’ technology roadmap
• Support commissioning, testing, troubleshooting, and performance optimisation of deployed systems
• Deliver training to industry partners through short courses or as part of consultancy engagements

Requirements

• Deliver training to industry partners through short courses or as part of consultancy engagements
• Strong hands‑on experience in embedded control system development, including PLC ladder logic and function block programming
• Proficiency in one or more programming languages such as C++, C#, or Python, applied to industrial or embedded systems
• Experience with sensor and actuator integration, control panels, and system commissioning
• Familiarity with building systems, BMS, energy management systems, and HVAC applications would be an advantage
• Experience in applied R&D, consultancy, or industrial system deployment
• Ability to work independently while coordinating effectively with staff, student interns, and industry collaborators
• Strong problem‑solving, analytical, and systems‑thinking skills
• Good written and oral 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-Assistant-Associate-in-Programme-Evaluation/32485-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant / Associate in Programme Evaluation

The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire an individual with relevant skillset and experience to work in the area of programme evaluation and health services research.

The individual will play a critical role in anchoring the Centre’s Programme Evaluation Unit (Health Services) that will be servicing the Ministry of Health. The individual will contribute to the Centre’s research agenda to support programme evaluation and health services research in Singapore, gaining the opportunity to work with leading experts, policy makers, and programme implementers in the field. They will be expected to perform research administration, conduct formative and evaluation-driven research, and disseminate findings.

The role will require a highly motivated and capable team-player who can engage with incoming briefs and help shape and construct deliverables in a timely manner. As a researcher of the Centre, they will be presented with various opportunities to further develop their skills and experience to ensure personal growth in their career. The role benefits from exposure to many areas of public health ranging from evaluations of patient reported outcomes and experiences to evaluating national strategic plans. This will engage the individual in building professional networks across multiple agencies in Singapore and possibly overseas.

The successful candidate will join an active and supportive team that enjoys working together collaboratively, problem solving in creative and effective manner, and efficiently delivering theory-driven yet applied, practical outputs that will improve population health outcomes.

Requirements:
Applicants are expected to have a bachelor’s or master’s degree from an established University, preferably in public health, health sciences, social sciences, or statistics, with advanced quantitative research skills and good understanding of Singapore’s health system and landscape.

The grade of appointment will be accorded based on qualifications and work experience.

Applicants with following experiences and skills are preferred:
• Experience managing health services research and evaluation projects
• Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data sets, and other quantitative methods / data
• (optional) Experience conducting qualitative research, including design and conducting of focus groups and interviews, analysis and interpretation of qualitative data, and other qualitative methods / data
• Experience with overall project management, including ethics applications and institution administration processes
• Driven, collaborative, independent, and flexible
• Excellent written and verbal communication skills
• Well-organised and meticulous
• Strong proficiency in the use of Microsoft Office Applications
• Strong proficiency in the use of statistical software, preferably R or Stata, for statistical analyses
• (optional) Strong proficiency in the use qualitative data software, preferably Atlas.ti or nVivo, for data management and analysis
• Adept at learning new software packages and online digital systems

The appointed candidate will report directly to Dr. Ian Ang and be embedded in the wider team supervised by both Dr. Ian Ang and Dr. Zoe Hildon.