Total 113 Junior Executive level Science / R&D / Research job vacancies in PASIR GUDANG

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-EngineerAssistant-%28Interdisciplinary%29%2C-ChBE/33229-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Positions are available for Research Engineers, Research Assistants, and Ph.D. students in the research group of Prof. Soh Siow Ling, 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 Bachelor’s degree 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-Assistant-%28Quality-Assurance%29/33198-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant (Quality Assurance (QA) Executive) in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

This role provides QA support across document control, batch record management, training records, supplier documentation, audits, and quality system activities. Responsibilities include maintaining quality registers, tracking due dates and CAPA actions, supporting Bizzmine eQMS document control, checking Batch Manufacturing Records for completeness, and assisting with QA reporting and trending. Also supports GMP training, supplier qualification records, inspection readiness, and maintenance of key controlled documents. In addition, the role contributes to QA improvement work and is being trained to support investigational radiopharmaceutical release as an Authorised Person under supervision.

Main duties and responsibilities

The QA Executive will be able to:

1. Provide OMS Support – maintain and update registers
2. Assist in document management & eQMS (Bizzmine)
3. Support Batch Record (BMR) & QA Operations
4. Assist, arrange & support training and filing of training records, especially the annual GMP training
5. Assist & support in maintaining supplier and material documentation
6. Assist & support during audit & inspection period
7. Assist in QA related improvement projects and digital quality system activities
8. To take up the role of Authorised Person for the release of investigational radiopharmaceuticals in compliance with PIC/S GMP (Under supervision)

Qualifications

The applicant should:

1. Have a minimum of bachelor’s degree (Honours) or higher in Pharmaceutical Science, Chemistry, Life Sciences or related discipline;
2. Previous experience working in a PET radiochemistry facility is highly desirable. 
3. Typically, 1-3 years of relevant experience in QA/QC/QMS in a regulated environment (GMP/PIC/S GMP experience is strongly preferred). 
4. Excellent understanding of radiochemical and radiopharmaceutical processes, including material flows, quality controls, and critical parameters in GMP environments. 
5. Strong organizational and project planning skills, with the ability to manage multiple tasks and priorities in a regulated environment. 
6. Working knowledge of GMP principles and their application to equipment qualification, maintenance, and facility operations. 
7. Understanding of radiation safety principles and engineered controls for radioactive materials. 
8. Excellent communication and teamwork skills, with a collaborative approach to problem-solving across scientific, quality, and engineering disciplines. 
9. Working knowledge of PIC/S GMP and good documentation practices (GDP). 
10. Strong coordination skills; able to follow up across teams and manage multiple deadlines. 
11. Comfortable working with digital systems (experience with eQMS is advantageous). 
12. Clear written communication, with strong attention to detail and integrity in a GMP environment 
13. Need to be adaptable and flexible to perform required tasks beyond the job description 
14. Willing to accept exposure of low radiation levels (radiopharmaceutical manufacturing) & enter clean room/rotational function.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Emmalyn Chan Mei Mei at emma.chan@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 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 US 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-%28Coastal-and-Marine-Cluster%2C-EMID%29/33199-en_GB/

We regret that only shortlisted candidates will be notified.

Duties and Responsibilities

• Assist in marine environmental research
• Regular field trips onboard research vessels that may extend outside conventional office hours
• Coordination of field trips, logistics and pre-field preparation
• Post-field processing of samples, including identification of specimens and image processing
• Purchasing of consumables and equipment
• General administrative duties
• General maintenance of laboratories and equipment
• Curation of reference collection
• Data management, analysis, interpretation and reporting

Qualifications and Requirements

• Bachelor’s degree or equivalent with a major in Marine Biology
• Strong background in coral ecology and/or biostatistics
• SCUBA Divers with a minimum of Rescue diver certification and/or 100 logged dives will be given priority
• Experience with LIT survey techniques
• Troubleshooting and analytical skills
• Honest, highly motivated, resourcefulness, independence and a desire to learn
• Proficiency in MS Office applications, LaTeX and R
• Excellent written and verbal communication skills in English
• A background in ecological or mathematical modelling is a bonus

Application Procedure

Interested candidates are invited to email their detailed resume and cover letter to the NUS Career Portal.

Candidates who do not hear from us within 8 weeks after the closing date of the advertisement may assume that the post has been filled.

Only shortlisted candidates will be notified

Closing Date: 15 July 2026

Additional Information

Salary will commensurate with qualifications and experience. The appointment will be for a period of one year and extendable depending upon the candidate’s performance. 

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-%28Operations-Research-&-Analytics%29/33202-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Assistant to support research in machine learning and operations research, with a focus on multi-agent reinforcement learning and stochastic inventory control.

Responsibilities

• Conduct research on multi-agent reinforcement learning.
• Complete both the queueing version and the general version of the research project.
• Support the completion and submission of a paper on stochastic inventory control with latent queues.
• Perform mathematical analysis, programming, simulation, and model development as needed.
• Collaborate with team members on research design, implementation, and writing.
• Contribute to preparing research outputs, including reports, presentations, and manuscripts.

Qualifications

• A completed bachelor’s degree in management science, business, computer science, industrial engineering, or a related field.
• Evidence of the ability to conduct high-quality research.
• Strong background in mathematics and programming.
• Strong problem-solving skills.
• Ability to work effectively in a collaborative team environment.
• Excellent 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-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-Assistant-%28Healthy-Longevity-TRP%29/33180-en_GB/?st=85BD52711C8E3993F670E5AFFC6D000B3F0C691E

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for Geroprotectors in Reproductive Ageing in Professor Brian Kennedy’s Centre for Healthy Longevity (CHL) lab in Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine. CHL focuses on translational research targeting healthy aging, with particular emphasis on the use of repurposed drugs and natural compounds to improve reproductive healthspan. Model organisms include Caenorhabditis elegans (C. elegans) and mice. This position is offered on a one-year contract, with the possibility of renewal based on performance and funding.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator and study team members to ensure the rigorous execution of experimental protocols and timely progression of project milestones. The RA’s role will be to screen for compounds that will increase reproductive health using the C. elegans model, and to study the effects of the compounds with aged mice models.

Main duties and responsibilities

The Research Assistant will work closely with the team to:

1. Perform large-scale compound screening using the C. elegans model;
2. Conduct mechanistic investigation on hit compounds in C. elegans;
3. Manage and maintain the mouse colony, including:

• Ensuring sufficient feed
• Monitoring animal health and breeding status
• Tracking estrus cycles
• Performing weaning and basic phenotyping
• Conducting downstream biochemical and molecular assays

1. Carry out literature reviews, data analysis and detailed documentation of experimental results and project progress;
2. Maintain the highest standard of professional conduct and documentation practices in accordance with institutional policies and procedures;
3. Assist with any other duties of a similar nature that are delegated by the Principal Investigator.

Qualifications

The applicant should:

1. Have a Bachelor’s degree with good results in Life Sciences, Biomedical Sciences or related disciplines, with a strong academic track record;
2. Be able to work independently and in a team, have an investigative nature, exercise sound judgment and handle multiple tasks with precision and accountability;
3. have strong organizational and documentation skills, attention to detail and scientific curiosity
4. Be a highly motivated team player with good communication skills, and willingness to learn and take initiative;
5. Previous experiences with laboratory animals, particularly mice, is strongly preferred. The role involves extensive hands-on work with mice.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Ms Dong Lu at lu_dong@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 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-Assistant-%28IDS%29/33172-en_GB/

We regret that only shortlisted candidates will be notified.

Overview

We are looking to recruit a Research Assistant for the project “LU-STM: Large Urban Spatial Temporal Model for Urban Planning and Governance”, which will be hosted at the Institute of Data Science (IDS), National University of Singapore (NUS) and led by Prof Ng See Kiong. This project aims to orchestrate end-to-end analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions.

Only shortlisted candidates will be notified. Please include links to your GitHub repositories showcasing your best project relevant to these topics in your CV/cover letters.

Job Description

Job Summary: The Research Assistant will support research and engineering activities for developing analytical workflows by using AI foundation models, and demonstrating how workflows extend human capabilities by uncovering patterns, simulating scenarios, and synthesizing information across spatial, temporal, and semantic dimensions. You will help design, implement, and evaluate analytical workflows; build and maintain software prototypes and experimental testbeds; and assist with data, documentation, and stakeholder engagement. This role provides hands-on experience across AI research and practical deployment at IDS.

Responsibilities:

• Design and write robust, readable, and reusable code components and applications to implement state-of-the-art research outcomes in machine learning, artificial intelligence, and big data.
• Perform data engineering tasks including data cleansing and processing for analysis of real-world datasets.
• Assists with the editing and preparation of manuscripts, reports and presentations.
• Participate in presentations and demos for exhibiting work at appropriate events.

Requirements

• Bachelors or Masters in Computer Science with a focus in AI, Machine Learning and Big Data.
• Solid programming and application development skills (Python preferred) and experience with ML frameworks (e.g., PyTorch, TensorFlow) and modern development practices (Git, testing, CI/CD).
• Ability to develop robust systems and prototypes with fast turn-around.
• Possesses research background with ability to read and understand methodologies in research papers.
• Fluent in English and good team-player.
• Prior AI expertise with knowledge and interest in spatio-temporal foundation models and urban data analytics 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-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-Assistant-%28Blue-Carbon%29/33174-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will participate in a research project which examines key processes of carbon cycling in blue carbon ecosystems. Bulk of the research will focus on mesocosm experiments in ex situ aquaria.

The Research Assistant will lead and execute mesocosm experiments, laboratory analysis and data curation. Fieldwork in seagrass and mangrove habitats will be required. Specific tasks include:

• Planning and conducting experimental and laboratory work
• Collection and analysis of data
• Performing basic administrative duties
• Some outreach duties are expected

This position reports to the Principle Investigator at Tropical Marine Science Institute and is based at St John Island National Marine Laboratory on offshore St John Island, Singapore. This position is for 1 year; after first year, renewal is subjected to performance review. 

Job Requirements

• Bachelor’s Degree in Biological Science, Environmental Science, or related field
• Proficient with basic Microsoft Suite and basic statistical analyses
• Prior experience for seawater aquarium facilities, and marine and intertidal field work is highly preferred
• Must be willing to do intertidal field work, which entails working in muddy environment and working around low tide timings
• Self-motivated, driven, and a keen interest in research
• Effective oral and written communication skills in English

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-%28Urban-Analytics-&-Computational-Design%29-1/33178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Geospatial & Environmental Analytics: Assist in quantifying the built and natural environment using Geographic Information Systems (GIS) and spatial network analyses. Process complex datasets related to urban morphology, microclimate, and social infrastructure.
•    Fieldwork & Data Collection: Conduct on-site microclimate and visual environment audits using portable sensors across selected HDB precincts.
•    Data Processing & Modeling: Utilize scripting languages (Python, MATLAB, R) to analyze large-scale spatial data, integrating environmental metrics with developmental health outcomes
•    Research & Dissemination: Publish findings in high-impact peer-reviewed journals and present at international conferences.
•    Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders.
•    Stakeholder Engagement & Coordination: Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.

Qualifications

Essential:
•    Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.
•    Proven proficiency in computational programming and data analysis (Python, MATLAB, R, C++).
•    Demonstrated experience with CAD or geospatial analysis software (e.g., QGIS, ENVI). Familiarity with 3D computational modeling tools (e.g., Rhino3D)  and the ability to adapt to parametric design software (e.g., Rhino/Grasshopper).
•    Strong portfolio or proven experience in data visualization, UI/UX design, and digital media utilizing the Adobe Creative Suite (Illustrator, Photoshop, After Effects).

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-%28Multi-Agent-Strategy-Learning%29/33156-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to the coordination of large teams of autonomous robots (e.g., UAVs) in mixed cooperative-competitive environments. The Research Assistant will support the development, simulation, testing, and implementation of collaborative control algorithms for multi-agent robotic systems, under the guidance of the PI and senior researchers. The work will first focus on simulation studies and may later involve hardware experiments with project partners. The role provides an opportunity to work with the PI’s team at the National University of Singapore, as well as industrial, government, and overseas collaborators. The successful candidate is expected to be motivated, responsible, and willing to learn, with a Master’s-level background in robotics, control, computer science, electrical engineering, mechanical engineering, or related disciplines. Prior exposure to multi-agent systems, robotic control, reinforcement learning, or autonomous aerial vehicles would be an advantage.

The main research tasks for the project include, but are not limited to:

• Assisting in the development and evaluation of conventional and learning-based controllers for collaborative control of multi-agent robotic systems in mixed cooperative-competitive environments.
• Implementing and testing control algorithms in simulation environments, with possible support for hardware experiments on robotic or UAV platforms.

Qualifications

• Good programming skills in Python.
• Basic experience with PyTorch, deep learning, reinforcement learning, or related machine learning tools.
• Basic understanding of robotics, control systems, machine learning, or multi-agent systems.
• Experience with robotic simulation environments or aerial simulators would be an advantage.
• Prior exposure to UAVs, autonomous robots, or hardware experiments would be beneficial but is not required.• Ability to read research papers and summarize key technical ideas.
• Good written and spoken communication skills.
• Ability to work independently on assigned tasks while collaborating effectively within a research team.

We are seeking an experienced Assistant Research Officer / Research Officer to develop and support our molecular and omics capabilities in nutrigenomics, transcriptomics, and proteomics for large-scale aquaculture nutrition, health, and welfare research. This role combines hands-on technical expertise, platform development, and team coordination, bridging experimental biology with high-throughput molecular analyses.

Responsibilities

• Establish, optimize, and maintain workflows in:
  · RNA extraction, QC, and library preparation (bulk RNA-seq; transcriptomics)
  · Protein extraction, digestion, preparation for LC-MS/MS-based proteomics
  · Nutrigenomics assays linked to diet, stress, immunity, and growth
• Ensure reproducibility, traceability, and SOP standardization across experiments
• Coordinate sample pipelines from farm/experimental systems to molecular analysis
• Work closely with PIs, postdocs, and students to:
• · Design sampling strategies aligned with nutritional / physiological hypotheses
• · Integrate omics endpoints into feeding, vaccination, and challenge trials
• Support interpretation of molecular results in a biological and nutritional context
• Contribute to manuscripts, reports, and grant deliverables (methods, QA/QC sections)
• Ensure day-to-day operationsof the molecular laboratory
• Guide and mentor technicians, students, and visiting researchers
• Manage consumables, reagents, service contracts, and equipment maintenance
• Ensure compliance with biosafety, animal ethics, and institutional guidelines

Requirements

• PhD or MSc with strong experience in molecular biology, omics, or nutritional physiology
• Demonstrated hands-on experience in transcriptomics and/or proteomics
• Strong background in sample preparation, QC, and experimental rigor
• Proven ability to support laboratory operations and coordinate multiple projects

Salary and benefits are commensurable to educational qualifications and working experience of the candidate. Benefits include annual leave, medical and flexi-benefits, etc.

Interested individuals should send their applications (including a cover letter, curriculum vitae with list of publications and two referees’ contacts/ recommendation letters) to:

Dr Richard Le Boucher
Head (Precision Aquaculture) & Director, Commercial Strategy (Aquaculture)
Temasek Life Sciences Laboratory Ltd
Email: mailto:richard@tll.org.sgrichardgroupARO@tll.org.sg

(Please note 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-Assistant%2C-School-of-Computing/32570-en_GB/?st=7DA39663641A4F41E8890083630AD3594C5FF38B

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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

Fuzzing is a powerful technique for finding security vulnerabilities in systems and is used by corporations regularly. In this work, we will study the role of AI in cybersecurity - by aiding fuzzing techniques with large language models.

Tasks

• Conduct Research on AI-Aided Fuzzing: Lead research efforts to explore the integration of large language models (LLMs) with fuzzing techniques for identifying security vulnerabilities in systems. Design experiments and methodologies to evaluate the effectiveness of AI-aided fuzzing in comparison to traditional methods.
• Develop AI Models for Fuzzing Enhancement: Develop and implement AI models, including deep learning architectures, reinforcement learning algorithms, and natural language processing techniques, to enhance fuzzing capabilities. Train these models on relevant datasets to improve their ability to generate meaningful inputs for fuzzing.
• Collaborate with Interdisciplinary Teams: Collaborate with interdisciplinary teams comprising cybersecurity experts, AI researchers and software engineers to integrate AI-aided fuzzing techniques into existing cybersecurity frameworks. Communicate findings and insights effectively to team members and stakeholders.
• Publish Research Findings: Document research findings in academic publications, conference papers, and technical reports. Disseminate knowledge gained from the study of AI in cybersecurity, particularly in the context of fuzzing, to the broader research community through presentations and workshops.

Qualifications

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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.

The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

We regret that only shortlisted candidates will be notified.