Total 833 science rd research job vacancies in Education / Training category in Malaysia

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

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-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

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.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret that only shortlisted candidates will be notified.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

About WorldFish 

WorldFish is an international research organization working to transform aquatic food systems to reduce hunger, malnutrition, and poverty. It collaborates with international, regional, and national partners to co-develop and deliver scientific innovations, evidence for policy and knowledge to enable equitable and inclusive impact for millions who depend on fish and other aquatic foods for their livelihoods and nutrition. Our work in countries advances progress on multiple 2030 Sustainable Development Goals through science and innovation, with a vision of healthy people, healthy planet and shared prosperity. 

About Project

Aquatic foods are among the most nutrient-dense foods available and can play a critical role in improving dietary quality and addressing micronutrient deficiencies among nutritionally vulnerable populations (Golden et al., 2021). Over the past decade, WorldFish and its partners have developed and tested a diverse range of fish-based products, including fish powders, dried fish products, fish chutneys, porridges, noodles, cookies, and fish snacks. These products have been designed to improve access to nutritious aquatic foods among target groups such as infants and young children during the first 1,000 days of life, pregnant and lactating women, and school-aged children, while also supporting rural livelihoods and women’s economic participation. Fish-based product initiatives have been implemented across multiple countries and contexts, generating valuable experience on product development, nutritional quality, consumer acceptability, production models, and pathways to scale.

In 2024, WorldFish convened an e-learning event that brought together teams from seven countries to document experiences, lessons learned, and research priorities related to fish-based products. The discussions informed the development of the brief Fish-based Products in Diverse Aquatic Food Systems: Innovating with Product Development to Tackle Malnutrition and Improve Livelihoods https://hdl.handle.net/20.500.12348/6115, which synthesized more than a decade of WorldFish experience across 21 projects. The review highlighted the diversity of products developed, their potential contributions to nutrition and livelihoods, and the need for stronger evidence on affordability, market integration, scalability, food safety, and impact.

About Position

We are seeking a motivated and capable Master's student intern to undertake a comparative assessment of fish-based products developed through WorldFish-supported initiatives. Building on findings from the 2024 WorldFish brief and the accompanying e-learning event, the internship will involve compiling, validating, and synthesizing information from multiple country programmes. Particular attention will be given to documenting product formulation, nutritional characteristics, target populations, production systems and distribution, market integration pathways, and evidence of scaling. The intern will work closely with WorldFish staff across country offices and will produce a comparative inventory and assessment matrix as well as a technical report and identifying cross-country lessons, evidence gaps, and opportunities for future investment in nutrition-sensitive aquatic food systems.

The successful candidate will be responsible to:

• Review and compile existing information on fish-based products developed through WorldFish initiatives.
• Organize and synthesize data on product characteristics including ingredients, nutritional composition, target populations, and intended nutrition outcomes.
• Document production models, buyers and end-markets, distribution channels, levels of market integration and commercialization, and evidence of adoption and scaling.
• Engage with WorldFish staff across country offices to validate and complement available information.
• Conduct a targeted literature and document review to inform the analytical framework and comparative assessment.
• Develop a standardized inventory and assessment matrix for fish-based products.
• Identify common approaches, lessons learned, evidence gaps, and opportunities for future investment.
• Analyze and synthesize findings across countries and product types.
• Lead the preparation of a technical report and comparative inventory/assessment matrix.
• Contribute to dissemination activities and presentation of findings.
• Participate in regular meetings with the supervision team to discuss progress and refine analyses.

This opportunity will be suitable for you if you have the below skills and qualifications:

• MSc (completed or near completion) in Nutrition, Public Health, Food Science, Food Systems, Agricultural Economics, International Development, Fisheries, Aquaculture, or a closely related field.
• Demonstrated academic training in nutrition, food systems, value chain analysis, market systems, research methods, or related disciplines.
• Demonstrated experience in data compilation, literature reviews, and synthesis of information from multiple sources.
• Strong analytical and organizational skills, including the ability to manage, analyze and synthesize qualitative and quantitative information.
• Understanding of nutrition-sensitive food systems, aquatic foods, value chains, and/or market systems.
• Ability to work independently and communicate findings clearly through technical reports, briefs, and other written outputs.
• Strong interpersonal and communication skills, with the ability to engage effectively with multidisciplinary teams across different country contexts.
• Interest in nutrition, fisheries, aquaculture, food systems, and international development research.

Desirable Skills

• Knowledge of fisheries, aquaculture, aquatic foods, nutrition, or food systems in low- and middle-income countries.
• Experience preparing technical reports, policy briefs, or other research communication products.

Expected Outputs

• Comparative inventory and assessment matrix of fish-based products developed through WorldFish initiatives.
• Technical report.

Expected Outcomes and Impact

• Consolidated evidence on fish-based products developed by WorldFish and their market integration pathways.
• Evidence base for nutrition-sensitive fisheries, inclusive markets, and school meals policies.
• Enhanced visibility of fish-based products as scalable nutrient-rich foods.

Timeline

• Months 1–2: Data review and compilation, engagement with WorldFish country teams.
• Months 3–4: Preparation of the inventory and assessment matrix, and technical report.
• Month 5: Finalization, dissemination, and submission of outputs for publication.

• This position is an excellent opportunity to gain information and experience with an international research organization.
• The intern will have the opportunity to interact and collaborate with experienced researchers across multiple countries and disciplines.
• A monthly stipend.

Location and Duration

The successful interns will be based at WorldFish Headquarters in Penang, Malaysia. The internship is scheduled to commence in August 2026 and will run for a duration of up to 5 months. This opportunity is open exclusively to Malaysian applicants only. Interviews are expected to take place in July 2026, and only shortlisted candidates will be notified and invited to attend the interview.

How to Apply

Your application must include:

• A copy of your curriculum vitae,
• A cover letter which addresses key requirements stated above; and
• Contact information of three professional referees who may be contacted if you are short-listed for the position.

To be considered, applications must be submitted by no later than 23:59 (MYT), 12 July 2026.

Location: The post holder will be based in Penang, Malaysia.

The screening will start immediately and will continue until the position is filled. Due to the high volume of applicants for WorldFish positions, we appreciate all interest, but only short-listed candidates will be contacted. 

Our Gender, Diversity and Inclusion Commitment 

Over 40% of WorldFish staff is women with some 30 nationalities represented and contributing to its dynamic multicultural work environment. WorldFish is committed to promoting a work environment where diversity and inclusion are valued and we seek to have gender balance in the organization. We aim to also seek balance across other diverse dimensions.

People in WorldFish are treated equally irrespective of gender, ethnicity/race, national or social origin, disability, religion, political affiliation, age, family size, marital status or any other form of personal identity.

We are an equal opportunities employer and strongly encourage qualified women and men from developing nations to apply.

We are an equal opportunities employer and strongly encourage qualified women and men from developing nations to apply.

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

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%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Membranes%29%2C-ChBE/33499-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Design and synthesize chiral covalent organic frameworks (COFs);
•    Fabricate chiral COF membranes;
•    Evaluate membranes for chiral separations.

Job Requirements

•    Experience in organic synthesis, especially chiral synthesis;
•    Experience in porous materials and polymers;
•    Experience in membrane science and engineering.

Job Responsibilities:

• Contribute to the conceptualisation and design of research studies (including primary studies, desk review, etc.) on social issues relating to children and families, under the supervision of the Head of Research and Research Advisors.
• Candidate will be expected to execute responsibilities relating to data collection, data cleaning and analysis.
• Conceptualise the dissemination plan of studies together with Advocacy Unit, contribute to the dissemination plan including writing up and presenting findings to relevant stakeholders.
• Work collaboratively with social service practitioners to evaluate programmes and services.
• Responsibilities include supporting the development of concept papers (TOC, logic model, needs analysis), proposal of suitable frameworks, methods and tools for programme evaluation, analysis of results, and contributing to reports detailing findings and recommendations.
• Contribute to other team efforts, such as research newsletters, research grant, organizing of events.
• Other tasks assigned by supervisor.

Requirements:

• Honours Degree in Psychology / Sociology / Social Work or related discipline
• Past work experience is preferred
• Past research experience is required
  i) Past research experience should be evident (e.g. RA, internship, thesis, peer-reviewed research publications)
  ii) Candidate should have sound statistical knowledge and be proficient in using statistical software such as Statistical Package for the Social Sciences (SPSS) to conduct data analysis
  iii) Prior experience in conducting programme evaluation and knowledge of social service sector preferred but not necessary
• Keen interest in conducting research on social issues relating to children and families
• Willing to undertake different types of work
• Good written and verbal communication skills
• Good interpersonal skills
• Self-motivated and able to work independently to manage multiple tasks simultaneously
• Be comfortable working collaboratively in a team and in liaising with multiple parties

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

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

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

Project Overview

The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic technologies. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs) of the Singapore-MIT Alliance for Research and Technology (SMART).  The research engineer will join an interdisciplinary team of chemists, engineers and plant biologists in the development, modification and characterization of functional conjugated polymers with unique optical properties that could potentially be used for cell imaging. These novel tools enables optimal crop production and rapid development of plants suitable for high-density farming and revolutionalizes urban farming strategies.

Responsibilities

• Support the DiSTAP nanosensor team in the development and validation of novel single-walled carbon nanotube (SWNT)-based sensors, with a primary focus on Covalent Organic Framework microneedles (COF-MNs) and nanosensors for nutrient sensing.
• Participate in translational research projects alongside external collaborators and open-field commercial plantation partners to drive the commercialization of DiSTAP technologies.
• Work across interdisciplinary team on in-planta studies using nanosensors for the real-time monitoring of plant nutrients, metabolites, and stress responses.
• Play a crucial role in enhancing the throughput of sensor data evaluation by developing, optimizing, and maintaining automated data processing and analysis pipelines.

Requirements

• BSc in Chemistry, Materials Science, Engineering, or a closely related field.
• Hands-on experience working with nanosensors, nanoparticle synthesis, and materials characterization, particularly regarding their applications in plant biology.
• Strong hands-on laboratory skills and technical proficiency.
• Excellent teamwork and collaboration skills, with the ability to mentor visiting students and interns.
• Ability to effectively communicate research progress through technical reports and poster presentations.
• Excellent written and verbal communication skills in English.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified.

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

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