158 Research Roles jobs in Malaysia

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, ‘Proteins4Singapore,’ funded by Singapore’s National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR’s Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in food chemistry, metabolomics, sensory science, plant protein processing, and systems biology. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit for more information about TUM CREATE.

Job Summary

We are seeking a highly motivated and skilled Research Fellow in Flavour Chemistry (Sensomics Approach) to join our analytical flavour science team. As part of the Proteins4Singapore project, the Research Fellow will lead experimental research focused on the identification, quantification, and sensory validation of aroma-active and taste-active compounds in alternative protein products. This position combines instrumental flavour analysis (LC-MS) with sensory evaluation techniques (e.g. profiling, discrimination tests, and threshold determinations) to support the development of appealing next-generation food products.

This is a fixed term contract until March 2027.

Key Responsibilities

• Design and execute analytical workflows combining LC-MS, and sensory data to map aroma and taste compound profiles.
• Conduct sensory analysis of food (e.g. profiling, discrimination tests, and threshold determinations)
• Develop and validate analytical methods for aroma precursor and flavor compound quantification in raw and processed samples.
• Collaborate with experts in protein extraction and process engineering to translate analytical findings into product insights.
• Write scientific manuscripts, contribute to project reports, and present findings at international conferences and stakeholder meetings.

Key Competencies

• Proven expertise in flavour chemistry, food metabolomics, or analytical chemistry with hands-on experience in LC-MS workflows.
• At least 1 year of experience with sensory evaluation/sensomics techniques is highly desirable.
• Strong understanding of aroma compound biosynthesis, Maillard reaction chemistry, or fermentation-derived flavour generation.
• Excellent written and verbal communication skills in English, with the ability to communicate complex analytical results to multidisciplinary teams.
• Demonstrated ability to work independently and collaboratively in a fast-paced, international research environment.

Qualification Requirements

• Ph.D. in Food Chemistry, Analytical Chemistry, Flavour Science, or related discipline from a reputable university.
• Publications or demonstrated expertise in aroma or taste analysis considered a strong asset.

What we offer

• A collaborative and inclusive world-class research environment.
• Access to advanced flavour chemistry and mass spectrometry infrastructure.
• Opportunities for scientific leadership and professional development.
• Engagement with a leading international team addressing emerging challenges in sustainable food innovation.

Applications

Please send your complete application, including cover letter (compulsory), CV, university transcripts to .

Only shortlisted candidates will be contacted.

We look forward to your application!

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Applications are invited for a Research Fellow position in Dr Prateek Bansal's research group at the National University of Singapore (NUS).

The project involves generating synthetic population with inter-intra household structure and its activity schedules in activity-based models by leveraging Large Language Models (LLMS):

(i) Using LLMs + Statistical models for generating synthetic populations.
(ii) Using LLMs + Statistical models for generating activity schedules
(iii) Writing research papers.

The successful applicant is expected to pursue independent as well as collaborative research, must be willing to participate in writing grant proposals and help supervise doctoral/postgraduate research students.

• Possess a PhD in Travel behaviour, Management, Economics, Statistics, Psychology, or related disciplines.
• Has good understanding of discrete choice experiments and model estimation.
• Has strong background in optimization methods.
• Is proficient in programming econometric models in R, Python, or MATLAB.
• Good written and verbal communication skills.
• PhD candidates without experience are welcome to apply.
• Open to fixed-term contract.

Interested applicants are invited to apply directly at the NUS Career Portal .

Your application will be processed only if you apply via NUS Career Portal .

We regret that only shortlisted candidates will be notified.

The focus of Professor Patani’s lab is understanding the molecular and cellular mechanisms underpinning neurodegeneration. The lab uses a variety of patient-derived iPSC lines to investigate disease-related events at the molecular level across different relevant cell types, including motor neurons, astrocytes, and microglia.

The post holder will join an established and dedicated team of researchers using human induced pluripotent stem cells to study fundamental cellular and molecular mechanisms of neurodegeneration. The primary activity will be to resolve the molecular basis of neuronal degeneration and glial dysfunction, with a particular focus on aberrant RNA metabolism, especially post-transcriptional mechanisms of disease. The role involves utilizing state-of-the-art molecular methods combined with cutting-edge sequencing approaches to explore the complex interactions between aberrant splicing and cellular homeostasis. This is a compelling opportunity to contribute to ground-breaking, high-impact research within a globally diverse scientific community.

• Design and manage research programs to meet objectives.
• Collaborate with experimental and data scientists to ensure project progress.
• Oversee setup and execution of experiments, providing supervision and support.
• Record, analyze, and document results promptly.
• Present research findings to colleagues and at conferences.
• Prepare publications and contribute to dissemination of research.
• Train and supervise students and staff in techniques and protocols.

• Provide teaching related to the post holder’s expertise as requested.
• Contribute to multidisciplinary research projects aligned with departmental strategy.
• Prepare and analyze data for publications and presentations at international and internal meetings.

• Maintain accurate and up-to-date records.
• Ensure confidentiality where applicable.
• Participate in departmental and institutional meetings.
• Uphold professional standards in research delivery.
• Support NUS’s sustainability policies and resource efficiency.
• Follow policies and regulations of the Department, Institute, and NUS.

PhD in Biomedical Sciences, Neuroscience, or relevant field.
Extensive knowledge of neurodegeneration.
Experience with iPSC differentiation and mouse models.
Phenotyping iPSC-derived cells.
Advanced molecular biology skills.
Experience with RNAseq and high-throughput imaging data.
Handling human post-mortem tissue.
Computer coding skills.
Supervisory experience.
Strong publication record and recognition in molecular neuroscience.

Self-organized with good prioritization skills.
Excellent communication skills.
Proactive problem-solving and initiative.
Interest in supervising young researchers.
Commitment to high-quality research.
Interpersonal skills for multidisciplinary collaboration and learning new skills.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The National University of Singapore invites applications for Research Fellowship under the Institute for Digital Medicine , Yong Loo Lin School of Medicine. The World Economic Forum (the Forum) is an International Organisation for Public-Private Cooperation, engaging global leaders to shape major agendas across sectors. Its Centre for Health and Healthcare focuses on enhancing healthcare systems by scaling solutions for resilience, efficiency, and equity through diverse stakeholder engagement.

The Centre has launched the "Digital Healthcare Transformation (DHT) Initiative," a multi-year program to boost public-private partnerships in digital health, data, and AI. This initiative complements the Global Health Equity Network (GHEN), which promotes health equity and patient-centred system transformation.

Singapore, a leader in healthcare delivery and equity due to its investment in digital health, will be highlighted as a World Economic Forum Centre for Health and a Healthcare Country Lighthouse. This collaboration aims to showcase Singapore's healthcare success globally and identify opportunities for Public-Private Partnerships to advance health equity through digital transformation.

The fellowship is for 3 years (or until February 2028, whichever comes first, if applicable). Initially, a 1-year contract will be offered, renewable based on performance.

This role is based in Singapore and hosted within the Yong Loo Lin School of Medicine. The Fellow will be involved in projects from the Forum's Centre for Health and Healthcare. The Fellow will report directly to the Forum's Lead for Digital Healthcare Transformation.

• The Fellow will act as project manager and content expert in Digital Healthcare Transformation and will work in partnership with a paired Fellow in Health Equity.
• Working on the topics of digital health and health data to research and draft a White Paper on Singapore's health system transformation journey, including leading interviews with key Digital Healthcare Transformation stakeholders and identifying future opportunities for collaboration.
• Develop and execute a dissemination plan for key learnings from the paper, including public engagement opportunities and convening interested stakeholders to share best practices.

• Support the broader GHEN team to incubate and manage a regional public-private working group focused on specific Digital Healthcare gaps and opportunities identified in the research, to support the building on existing Singapore-led work in Southeast Asia to develop and execute a dissemination plan of key learnings and best practices identified via Forum events and public engagement channels as well as collaboration in digital health area.
• Contribute to the Forum's broader global Digital Health strategy with Singapore-based insights and case studies - linking also to the Digital Healthcare Transformation Initiative in partnership with the Health Equity Fellow
• Drive partner engagement opportunities in Singapore with all relevant stakeholder groups across sectors.

Preferred requirements and experience
• Doctoral degree in relevant fields such as digital health, health data, AI & frontier tech, or medicine.

• At least 8 years of professional experience with expertise in health industry strategies and operations across various regions.

• In-depth knowledge of digital health and tech, including clinical, technical aspects, social determinants, and impact measurement methodologies.

• Extensive experience collaborating with public and private sector stakeholders in Singapore on multi-sectoral partnerships.

• Proficient in analysing complex issues using business intelligence and making informed recommendations.

• Strong project management and coordination skills, with attention to detail and critical thinking abilities.

• High proficiency in English with excellent communication skills to present findings to English-speaking stakeholders

• Ability to navigate multi-stakeholder interests and drive impactful societal action.

• Experience in producing thought leadership content such as blogs, research papers, and reports.

• Proven interest in social issues, personal integrity aligned with World Economic Forum's mission, and willingness to travel internationally

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal inquiries are welcome and should be made to Ms Poonam Rai at .

Formal application : Please submit the following during job application:

1) Cover letter introducing themselves, career goals and earliest start date.
2) Brief statement of interest matching their skills and competencies to the requirements of the post (no more than 500 words).
3) Curriculum Vitae, containing contact information of three named referees.
4) A sample of published work that is the most relevant to the current vacancy, if available.

We regret that only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

We are seeking a Barium Titanate (BTO) Engineer (PhD required) to drive the development of high-performance nonlinear photonic devices using thin-film BTO.

The role will focus on understanding and controlling the relationship between crystal growth parameters and electro-optic coefficients (EOC), optimizing thin-film crystallinity, orientation, and strain to maximize χ(2) nonlinearities.

The successful candidate will lead the design and fabrication of waveguides, modulators, and resonators that exploit BTO’s exceptional Pockels matrix, targeting ultra-compact, high-speed devices exceeding 100 GB/s modulation rates. The position also involves pioneering heterogeneous integration of InGaAs photodetectors and SPADs with BTO devices for advanced optical communications and quantum photonics applications, achieving high coupling efficiency, low noise, and scalable on-chip integration.

• PhD in Physics, Electrical Engineering, Materials Science, or a related field, with a strong background in nonlinear optics, ferroelectric materials, and integrated photonics.
• Proven expertise in thin-film crystal growth (e.g., PLD, MBE, CVD, sputtering) and characterization of domain structure, strain state, and stoichiometry.
• Hands-on experience with device design and simulation (e.g., COMSOL, Lumerical) for electro-optic modulators, micro-ring resonators, and high-speed photonic circuits.
• Strong nanofabrication skills, including dry etching, electrode deposition, and waveguide patterning on challenging materials like BTO.
• Knowledge of heterogeneous integration methods for III–V photodetectors with dielectric or ferroelectric platforms.
• Demonstrated ability to correlate material properties with device performance and to achieve record-level EOC in thin-film structures.
• Excellent analytical, experimental, and problem-solving skills, with the ability to work both independently and in a multidisciplinary team.
• Open to Fixed Term Contract.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Applications are invited for a postdoctoral research position in the Department of Physics at the National University of Singapore, in the research group of Assistant Professor Marc Hon. The successful candidate will develop and apply modern machine learning methods to the analysis of large-scale astronomical datasets, with a particular emphasis on time-domain astronomy.

Research directions will be flexible and shaped according to mutual interests. Potential areas include — but are not limited to — stellar variability, exoplanets, transient phenomena, and the discovery of new astrophysical events. Projects may make extensive use of archival data from major facilities, including NASA’s Kepler, TESS, and JWST missions; ESA’s Gaia mission; and large-scale spectroscopic surveys such as LAMOST. Experience working with large, complex datasets is expected, and familiarity with modern machine learning methods will be considered an asset.

NUS offers a vibrant research environment, with access to high-performance computing facilities and opportunities for interdisciplinary collaborations. The position additionally offers travel support for conferences and meetings and a monthly housing allowance.

• Qualifications/ Discipline: PhD in Physics, Data Science, Computer Science, Astronomy, Astrophysics, or a related quantitative discipline.

• Skills:

- Strong analytical and computational skills in data science, statistical analysis, or machine learning.

- Proficiency with Python and data analysis frameworks.

- Familiarity with large, complex datasets and modern computational techniques.

- Good written and oral scientific communication skills.

• Experience:

- Demonstrated experience conducting independent research involving the analysis of large datasets.

- Familiarity with modern machine learning methodologies is strongly desirable.

- A publication record demonstrating relevant skills in astronomy, astrophysics, physics, computer science, or related field

Applicants should submit a cover letter outlining their research interests and relevant experience, a curriculum vitae including a full list of publications, and a brief (2-3 page) description of research interests, and the contact information of three referees who can provide letters of recommendation.