82 Research Institutions jobs in Malaysia

Company information Magnequench is the preferred magnetic solutions provider in the bonded NdFeB magnet industry manufacturing and selling magnetic powder and polymer bonded magnets throughout the Asia Pacific, Europe and North America. Our products are used to provide high performance magnetics for automotive, media storage, appliance industries and various other industries. Recently MQ is expanding its product portfolio to include NdFeB sintered magnets. The Magnequench research and development team in Singapore is looking for a Research Scientist to join our team to develop high-performance NdFeB sintered magnets. Please see our website

additional information. Job Description & Responsibilities: Lead, plan and execute R&D projects on NdFeB sintered magnets. Develop new magnet alloys, processes and products with minimal supervision. Provide tech support for sintered magnet mass production at Narva, Estonia. Participate in multi-disciplinary project teams involving engineering and R&D at manufacturing locations and regional sales managers. Demonstrate competence in the use of all relevant processing, test and analytical equipment. Provide technical supervision to associate scientists. Document all phases of assigned projects; write complete reports. Assist in preparing patent applications/publications/meeting presentations/knowledge notes. Maintain a clean, organized and safe workplace. Conduct other work as required in Materials and Magnetics Laboratories. Requirements: Ph.D. degree (preferred) or master’s degree in Materials Science and Engineering or Physics, with thesis in permanent magnetic materials (preferred in NdFeB sintered magnets). 0-5 years of post-graduate research experience, preferably in NdFeB sintered magnets. Hands-on experimental skills in NdFeB sintered magnets fabrication technology. Knowledge of NdFeB permanent magnets and their processing-microstructure-property relationship. Ability to analyze and work through technical and/or scientific problems. Ability to travel occasionally to our manufacturing sites in Europe and Asia. Good communication and presentation skills (in English). Highly motivated, team player. The selected candidate will be located in Singapore. We offer competitive compensation, comprehensive benefits and career growth opportunities. To apply, please submit your CV and cover letter to Only short-listed candidates will be notified.

#J-18808-Ljbffr

Position Overview

We are seeking a passionate and highly skilled Computational Research Scientist specializing in deep learning to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

Key Responsibilities

• Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.
  

• Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.
  

• Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.
  

• Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.
  

• Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.
  

Required Qualifications

• Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.
  

• Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.
  

• Proficiency in programming languages including Python (preferred), R, or MATLAB.
  

• Strong written and verbal communication skills.
  

• Proven ability to work independently and collaboratively in a dynamic research environment.
  

Preferred Qualifications

• Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.
  

• Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).
  

• Experience with protein structure prediction and modeling.
  

• Background in industrial biotechnology or experience working in start-up environments.
  

Desired Working Style

• Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.
  

• Quick learner with a proactive, inquisitive mindset.
  

• Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.
  

• Strong collaborator with excellent interpersonal and communication skills.
  

• Commitment to high standards of scientific integrity and professional ethics.
  

#J-18808-Ljbffr

Position Overview We are seeking a passionate and highly skilled

Computational Research Scientist

specializing in

deep learning

to join our R&D team. This role will focus on developing and applying advanced AI and machine learning methods to solve biological problems, with an emphasis on enzyme optimization, metabolic engineering, and bio-process innovation. The successful candidate will collaborate closely with biologists, engineers, and data scientists to accelerate the design and production of sustainable bio-alternatives.

Key Responsibilities Design, develop, and deploy deep learning models for predicting and optimizing enzymes, proteins, and metabolic pathways in microbial and cellular systems.

Conduct computational modeling and simulations of metabolic networks to identify critical control points and engineering targets.

Build robust data pipelines to integrate diverse biological datasets and enable scalable model training and evaluation.

Present technical findings clearly to interdisciplinary teams through reports, presentations, and collaborative discussions.

Stay current with advances in AI, synthetic biology, and computational methods to drive innovation at ThinkBio.Ai.

Required Qualifications Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a related field with a focus on deep learning applications.

Hands-on experience with deep learning frameworks such as TensorFlow, PyTorch, or similar.

Proficiency in programming languages including Python (preferred), R, or MATLAB.

Strong written and verbal communication skills.

Proven ability to work independently and collaboratively in a dynamic research environment.

Preferred Qualifications Knowledge of metabolic engineering, synthetic biology, or systems biology concepts.

Familiarity with metabolic flux analysis and constraint-based modeling techniques (e.g., Flux Balance Analysis, COBRA Toolbox).

Experience with protein structure prediction and modeling.

Background in industrial biotechnology or experience working in start-up environments.

Desired Working Style Exceptionally organized with the ability to manage multiple projects and priorities simultaneously.

Quick learner with a proactive, inquisitive mindset.

Adaptable and comfortable with evolving roles and responsibilities typical in start-ups.

Strong collaborator with excellent interpersonal and communication skills.

Commitment to high standards of scientific integrity and professional ethics.

#J-18808-Ljbffr

Job description:

The successful candidate will be responsible for the design and simulation, fabrication and characterization of nonlinear metadevices to enhance the efficiency of quantum light sources.

Job Requirement:

• PhD in applied physics, optics and photonics, electrical engineering or materials science.
• Hands-on experiences in nonlinear metasurfaces are needed (design and simulation, nanofabrication and characterization);
• Skills in van der Waals structures fabrication (exfoliation, transfer, twist and stacking) are advantages;
• Skills in nonlinear optics measurement (SHG and THG) and optical setup are advantages;
• Skills in optoelectronic photodetector development and measurement are advantages;
• Good team player, self-motivated, ability to carry out independent research, and persistence in solving technology challenges;
• Proven track record of high-quality scientific publications.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

Job description: The successful candidate will be responsible for the design and simulation, fabrication and characterization of nonlinear metadevices to enhance the efficiency of quantum light sources. Job Requirement: PhD in applied physics, optics and photonics, electrical engineering or materials science. Hands-on experiences in nonlinear metasurfaces are needed (design and simulation, nanofabrication and characterization); Skills in van der Waals structures fabrication (exfoliation, transfer, twist and stacking) are advantages; Skills in nonlinear optics measurement (SHG and THG) and optical setup are advantages; Skills in optoelectronic photodetector development and measurement are advantages; Good team player, self-motivated, ability to carry out independent research, and persistence in solving technology challenges; Proven track record of high-quality scientific publications. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

AI Research Scientist (Medical Imaging) Digital Health Unit

We are seeking a highly motivated and creative AI Research Scientist to lead the development and improvement of AI models focused on oral lesion detection as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK.

SCOPE / PURPOSE OF JOB

Short-Term Objectives (Year 1–2):

• Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques
• Develop novel, bias-aware , transparent , and explainable AI approaches to improve clinical trust and applicability.
• Collaborate with dental and medical experts to ensure clinical relevance and data validity.
• Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers.
• Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics.

Long-Term Objectives:

• Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team.
• Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records).
• Contribute to the design of a scalable AI research infrastructure within the institution.

Qualifications

PhD or Master’s degree in Computer Science , Artificial Intelligence , Machine Learning , Biomedical Engineering , or related fields.

Experience:

• Minimum 2–3 years of hands-on experience in deep learning, preferably in medical imaging (experience with oral or dental images is a plus).
• Strong understanding of model fairness , bias mitigation , explainability (XAI) , and ethical AI .
• Proficiency with deep learning frameworks such as PyTorch or TensorFlow .
• Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM).
• Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable.
• Experience in leading small research or development projects is a plus.

Preferred Qualities

• Creative and independent thinker who can bring new ideas to the table.
• Passion for responsible AI development and real-world healthcare applications.
• Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams.

Why Join Us?

• Be at the forefront of AI innovation in healthcare with real clinical impact.
• Opportunity to shape the future of an in-house AI research unit.
• Work closely with a diverse team of clinicians, researchers, and institutional leaders.
• Access to rich clinical datasets and institutional support for high-impact research.

We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population.

Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done.

Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts.

We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments.

Our driving force is held together by these goals:

• Improving the survival rates of Asian cancer patients, focusing on neglected areas of research.
• Empowering Asians to have the proper screening and treatment.
• Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives.
• Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky.
• Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.

#J-18808-Ljbffr

The Centre for Advanced Technologies in Online Safety (CATOS; was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders.

This role will be responsible for systematically evaluating AI models and datasets to understand the strengths and weaknesses of existing tools in this field and identify ways to adapt promising tools to their intended applications. The work will create valuable knowledge to inform end-users and technology researchers, helping to ensure that the technologies from CATOS and its partners are of desirable performance and robustness for the intended use cases and applications.

The candidate will assume the following roles and responsibilities:

• As a Research Scientist, contribute to the evaluation of emerging technologies and data underneath the technologies, which often require hands-on tech skills and data analytic / data science capabilities.
• Actively review relevant tech landscape from both academics and industry, construct datasets, perform evaluation, generate reports, and communicate the methodology, findings, and key takeaways.
• Collaborate with senior team members, stakeholders and cross-functional teams to incorporate requirements that may come from the evolving nature of the landscape.
• Contribute to key CATOS events that are aimed at engaging the researchers, industry, public agencies, NGOs and the general public.

JOB REQUIREMENT:

• A PhD degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Computational Social Science / Societal Computing / Human Computer Interaction or equivalent.
• A compelling scientific publications track record and demonstrable independent research capabilities.
• Hands-on experience in using machine learning, deep learning frameworks and models, especially expertise in Natural Language Processing, Computer Vision, Data Visualization, and Human-Computer Interaction.
• Proficient with programming languages. (e.g., Python, Java, C/C++, MATLAB)
• Experience and expertise in (Multi-Modal) Large Language Models are especially valued.
• Cross-disciplinary research experiences are especially valued, especially those related to online trust and safety.
• Good communication and interpersonal skills for working in a multicultural work environment.
• Candidates with no experience may apply.

Our research and engineering work is highly interdisciplinary, agile, and pragmatic in nature.

• We expect everyone to take ownership of their role, responsibilities, and tasks.
• We encourage everyone to speak upwhen they have feedback or ideas for improvement.
• We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning.
• We careabout each other'sprofessional growth and well-being.

When applying, please share at least two representative research projects or publications that you have developed independently or contributed to significantly.

Please note that only shortlisted candidates will be notified.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr

AI Research Scientist (Medical Imaging) Digital Health Unit

We are seeking a highly motivated and creative

AI Research Scientist

to lead the development and improvement of AI models focused on

oral lesion detection

as part of the MeMoSA (Mobile Mouth Screening Anywhere) project. This role is pivotal in advancing our institution’s work in medical AI and setting the foundation for building a dedicated in-house AI research team in the long term. The candidate is expected to be able to work independently but will receive support from our established collaborators from Malaysia and the UK. SCOPE / PURPOSE OF JOB Short-Term Objectives (Year 1–2): Improve and optimize existing oral lesion detection AI models using the latest deep learning and computer vision techniques Develop novel,

bias-aware ,

transparent , and

explainable

AI approaches to improve clinical trust and applicability. Collaborate with dental and medical experts to ensure clinical relevance and data validity. Conduct experiments, analyze model performance, and produce high-quality technical documentation and research papers. Manage data pre-processing pipelines, annotation quality checks, and model evaluation metrics. Long-Term Objectives: Support the recruitment and mentoring of junior researchers or AI engineers as we build an internal AI team. Propose and lead new AI research projects in healthcare beyond oral lesion detection (e.g., predictive analytics, other imaging modalities, NLP for healthcare records). Contribute to the design of a scalable AI research infrastructure within the institution. Qualifications PhD or Master’s degree in

Computer Science ,

Artificial Intelligence ,

Machine Learning ,

Biomedical Engineering , or related fields. Experience: Minimum

2–3 years of hands-on experience

in deep learning, preferably in

medical imaging

(experience with oral or dental images is a plus). Strong understanding of

model fairness ,

bias mitigation ,

explainability (XAI) , and

ethical AI . Proficiency with deep learning frameworks such as

PyTorch

or

TensorFlow . Familiarity with tools and libraries for interpretability (e.g., SHAP, LIME, Grad-CAM). Track record of publications in reputable AI or medical imaging conferences/journals is highly desirable. Experience in leading small research or development projects is a plus. Preferred Qualities Creative and independent thinker who can bring new ideas to the table. Passion for responsible AI development and real-world healthcare applications. Strong communication skills and the ability to work cross-functionally with clinicians, researchers, and software teams. Why Join Us? Be at the forefront of AI innovation in healthcare with real clinical impact. Opportunity to shape the future of an in-house AI research unit. Work closely with a diverse team of clinicians, researchers, and institutional leaders. Access to rich clinical datasets and institutional support for high-impact research. We are an independent and non-profit cancer research organisation based in Malaysia. Funded by donations and research grants, we conduct research in niche cancers often found in our Asian population. Cancer — the big ‘C’ — continues to be a stigma, only spoken about in hushed whispers; how it’s bad karma, how much it costs, and that nothing could be done. Confronting this stigma head on, CRM has been reversing this language of cancer, transforming the big ‘C’ to a little ‘c’, and we plan to develop tools backed by good research to ensure that we can truly fight cancer on all fronts. We believe that we will reverse the grip of cancer in our lives. We want researchers to win the war against cancer by turning it around with new ways of prevention and cure. We want to empower the public through impactful outreach programmes, with the hopes that Malaysians will respond differently to cancer by coming forward for screenings and going through with treatments. Our driving force is held together by these goals: Improving the survival rates of Asian cancer patients, focusing on neglected areas of research. Empowering Asians to have the proper screening and treatment. Improving survival rates by being more accessible, focusing on providing existing cures to patients rather than sit on inaction and potentially losing lives. Making affordable and timely treatments by repurposing drugs, acknowledging the reality that developing new cures are costly and risky. Putting Malaysia in the global spotlight for cancer research by collaborating with top scientists around the world,and working to nurture the next generation of Malaysian cancer researchers.

#J-18808-Ljbffr

The Centre for Advanced Technologies in Online Safety (CATOS; was established in 2023 to host Singapore's Online Trust and Safety (OTS) Programme, a national research programme that leads the advancement of whole-of-nation technology capabilities to monitor and tackle online harms. The Systems Engineering Pillar of CATOS focuses on translational research and development, including evaluating, testing and integrating research output into needle-moving applications. One of the major outcomes will be a technological platform with an integrated suite of deep tech OTS engines, which analyses various internet sites and platforms for fast-trending harmful online content, such as non-factual claims, deepfakes, and hateful and toxic content. Different combinations of OTS engines can then be integrated and adapted to address the specific requirements of various stakeholders. This role will be responsible for systematically evaluating AI models and datasets to understand the strengths and weaknesses of existing tools in this field and identify ways to adapt promising tools to their intended applications. The work will create valuable knowledge to inform end-users and technology researchers, helping to ensure that the technologies from CATOS and its partners are of desirable performance and robustness for the intended use cases and applications.

The candidate will assume the following roles and responsibilities: As a Research Scientist, contribute to the evaluation of emerging technologies and data underneath the technologies, which often require hands-on tech skills and data analytic / data science capabilities. Actively review relevant tech landscape from both academics and industry, construct datasets, perform evaluation, generate reports, and communicate the methodology, findings, and key takeaways. Collaborate with senior team members, stakeholders and cross-functional teams to incorporate requirements that may come from the evolving nature of the landscape. Contribute to key CATOS events that are aimed at engaging the researchers, industry, public agencies, NGOs and the general public. JOB REQUIREMENT: A PhD degree in Computer Science / Information Technology / Computer Engineering / Information Systems / Computational Social Science / Societal Computing / Human Computer Interaction or equivalent. A compelling scientific publications track record and demonstrable independent research capabilities. Hands-on experience in using machine learning, deep learning frameworks and models, especially expertise in Natural Language Processing, Computer Vision, Data Visualization, and Human-Computer Interaction. Proficient with programming languages. (e.g., Python, Java, C/C++, MATLAB) Experience and expertise in (Multi-Modal) Large Language Models are especially valued. Cross-disciplinary research experiences are especially valued, especially those related to online trust and safety. Good communication and interpersonal skills for working in a multicultural work environment. Candidates with no experience may apply. Our research and engineering work is highly interdisciplinary, agile, and pragmatic in nature. We expect everyone to take ownership of their role, responsibilities, and tasks. We encourage everyone to speak upwhen they have feedback or ideas for improvement. We provide honest feedback to one another, which can be tough at times, but it fosters rapid learning. We careabout each other'sprofessional growth and well-being. When applying, please share at least two representative research projects or publications that you have developed independently or contributed to significantly.

Please note that only shortlisted candidates will be notified. The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

#J-18808-Ljbffr