Total 1,397 Full-time science rd research job vacancies

Location: Singapore
Group: Surface Remanufacturing Technology (SRT), SIMTech / A*STAR

About the Group

The Surface Remanufacturing Technology (SRT) Group at SIMTech develops advanced surface engineering, coating, and finishing technologies for industrial applications. Projects are often industry-driven or competitively funded, involving both fundamental R&D and translation into practical, production-scale processes.

Role Summary

You will execute and support research in laser material processing, ranging from laser surface texturing, laser cleaning, laser micro-machining, laser peening, and laser metal deposition. The role will also involve supporting characterization work, such as optical microscope and SEM imaging, sample preparation, residual stress and fatigue life measurement, analyzing of data and compilation, and overseeing other day-to-day activities such as procurement, equipment maintenance and laboratory supervision as required.

Key Responsibilities

• Support and execute R&D efforts in laser material processing.
• Conduct experimental trials; optimise process parameters to meet functional requirements (wear resistance, water affinity, surface hardness and roughness etc.).
• Perform materials and microstructural characterisation: sample preparation (sectioning, mounting, polishing, etc.), microscopy (optical, SEM), surface energy measurements, hardness / mechanical testing, etc.
• Troubleshoot and improve process stability, texture uniformity, reproducibility, and scalability; understand failure modes and address issues.
• Collaborate with multidisciplinary teams (materials scientists, mechanical engineers, surface metrology experts) and with industrial partners for technology transfer.
• Stay up to date on emerging laser processing technologies and contribute to the evaluation and incorporation of new techniques (e.g. novel optics, process monitoring and control, simulation and modelling, machine learning).

Qualifications & Experience

Essential:

• Bachelor's degree in Materials Science, Mechanical Engineering, Surface Engineering, or a related field.
• Good foundation in optics and light properties, materials and microstructure, surface properties and composition, thermodynamics and heat transfer
• Good understanding of experimental design, such as making reasonable hypotheses, crafting experiments and optimising process parameters, collecting and data analysis and compilation
• Experienced in material characterisation tools: microscopy (optical, SEM), wear testing, hardness testing, etc.
• Good communication skills, able to work well with others, able to articulate one’s thoughts and present one's work, motivated and hardworking

Desirable:

• Knowledge of post-processes (surface chemical grafting, surface passivation, coating overlay).
• Knowledge in python or other machine learning languages; experience in software such as Autocad/Creo, Rstudio, Labview etc.
• Project management experience; ability to guide junior researchers / engineers / lab officers

The Laboratory for RNA Delivery Therapeutics @ NTU

Prof Mary Chan-Park and her team have recently won a highly competitive large grant on the design, synthesis and studies of the improved RNA delivery vehicles. We are looking for post-doctoral fellows to design and synthesize new lipids or polymers that are stimuli-responsive and suitable for nanoparticle delivery formulations. New alternative delivery vehicles for the promising RNA nanomedicine are urgently needed to replace the current ones to achieve great delivery efficacy with less side effects. We have shown that some polymeric or lipid nanoparticles are excellent candidates as delivery agents.

This research will be in collaboration with other top international scientists from MIT, and Boston University.

Dr Mary Chan-Park is currently the Centre Director of the Centre for RNA Delivery Therapeutics. She is also the current President Chair Professor of Chemistry, Chemical Engineering and Biotechnology (2024 onwards) and the 2019 Board of Trustees Chaired Professor of Chemical and Biomedical Engineering (2019-2024), both at the Nanyang Technological University Singapore (NTU Singapore). She also holds a joint appointment at the Lee Kong Chian School of Medicine at NTU.  She is the Director of the Centre for Antimicrobial Bioengineering and the Director of the NTU Laboratory for RNA Delivery Therapeutics. She is a Fellow of the America Institute of Medical and Biological Engineering.

Key Job Purpose - We are looking for Research Fellow for the lab to conduct research in novel stimuli-responsive delivery vehicles for RNA therapeutics.

Key Responsibilities:

The person shall develop new stimuli-responsive lipid or polymer formulations for RNA nanomedicine to achieve efficient transfection efficiency and endosomal escape. The person shall design and synthesize novel cationic or ioniable lipids or polymers and formulate then with RNA, and then measure the transfection and endosomal escape efficiency and other particle properties.

• Develop stimuli-responsive nanoparticle delivery formulations

• Develop optimum formulations for RNA delivery

• New Lipid or polymer design and synthesis

• Nanoparticle characterisation

• Bioimaging of mammalian cells and Delivery Formulations

• Mice studies

• RNA Transfection efficiency and particle measurements

Job Requirements:

• Recent PhD graduates in chemical engineering, bioengineering, chemistry, materials science and engineering or related fields with knowledge in RNA delivery and independent research are strongly encouraged to apply or inquire.

• PhD (for Research Fellow and above equivalent) qualification degree in Chemistry, Chemical Engineering, Materials Science or related field

• At least 5 years of relevant experiences in PHD or beyond / technical hands-on experience in stimuli-responsive nanoparticle Delivery Formulations and evaluation

• Familiarity with stimuli-responsive RNA delivery formulations and evaluation (e.g. top research groups and classical LNP formulations)

• Good written and oral communication skills (if applicable)

• Proficiency in RNA formulation / RNA formulation evaluation

• Mice studies, and bioimaging (confocal, FRET, FRAP, etc)

• Lipid or polymer synthesis

• Competent in oral / written technical communications, and technical leadership (required to supervise junior researchers, like PHD students).

• 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 PHD graduating candidates are welcome to apply

• For Senior Research Fellow,

  • Ability to supervise PHD students

  • Ability to build rapport and influence stakeholders at all levels

  • Ability to work collaboratively in a fast-paced environment.

  • Possesses international experience, with a strong network of contacts in the region.

  • Possesses international experience, with a strong network of contacts in the region.

We regret to inform 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-%28Point-of-Care-Diagnostics%2C-iHealthTech%29/33267-en_GB/

We regret that only shortlisted candidates will be notified.

About iHealthTech

At iHealthtech, we envision advancing health through innovation, integration of smart technology and on-demand health solution. Our organisation consists of an interdisciplinary team of scientists, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs. 

Job Description

We are seeking highly motivated Research Assistants to join a multidisciplinary team developing next-generation point-of-care (POC) diagnostic technologies for cardiovascular and other diseases.

Successful candidates will contribute to one or more of the following research areas:
•    Electrochemical biosensors for disease biomarker detection
•    Passive microfluidic plasma separation devices for finger-prick blood sampling
•    Portable wireless electrochemical reader systems, embedded electronics, and AI-enabled diagnostics

These positions offer hands-on experience at the intersection of biomedical engineering, microfluidics, biosensors, electronics, software development, and translational healthcare technologies.

Key Responsibilities

•    Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems.
•    Support fabrication processes including micro/nanofabrication, surface modification, and device integration.
•    Conduct experimental evaluation of device performance using biological samples and laboratory models.
•    Assist in the development of embedded systems, data acquisition hardware, wireless communication modules, and user-interface software.
•    Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation of diagnostic results.
•    Collect, organize, and analyze experimental data using appropriate software tools.
•    Work closely with postdoctoral fellows, clinicians, engineers, and interdisciplinary collaborators.
•    Maintain laboratory records, prepare technical reports, and contribute to publications and presentations.
•    Ensure compliance with laboratory safety procedures and good research practices.

Qualifications

• Bachelor’s or Master’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Biotechnology, Computer Science, Chemistry, or a related discipline.
• Hands-on experience through coursework, research projects, internships, or laboratory work in one or more of the following areas:Biosensors and electrochemistryMicrofluidics and lab-on-chip systemsBiomedical device developmentEmbedded systems and electronicsSoftware development and data analysis
• Strong analytical, organizational, and problem-solving skills.
• Ability to work effectively in a multidisciplinary research environment.

Preferred Skills

Experience in one or more of the following areas will be advantageous:

• Electrochemical sensing and techniques such as CV, DPV, SWV, EIS
• Microfluidic device design, fabrication, and plasma separation technologies
• Microcontrollers, embedded firmware, wireless communication systems, and hardware prototyping
• Surface chemistry, biomolecular functionalization, and bioassay development
• CAD design, 3D printing, laser cutting, or soft lithography
• Data analysis, signal processing, AI/ML, Python, MATLAB, or related tools
• User-interface development and scientific data visualization
• Strong interest in translational diagnostics, point-of-care technologies, and biomedical innovation

Application

To apply, please send the following to the NUS Career Portal.

• Cover letter
• Curriculum Vitae (CV)
• Names and contact details of three referees (name, institution, and email)

We regret to inform you that only shortlisted candidates will be contacted.  

The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational Materials Science, Characterisation Materials Science, Defence Composite Materials, Functional Composite Materials, Energy, Nanomaterials, Low Dimensional Materials, Biomaterials, Biological Materials, Bioinspired Materials and Sustainable Materials.

For more details, please view https://www.ntu.edu.sg/mse/research.

We are seeking a Research Engineer to support the scale up of the synthesis of nanomaterials and the development of a more cost effective synthetic route to achieve some of these materials. This role involves extensive use of wet chemistry lab facilities, characterization tools and planning and coordinating of the meetings with company and other stakeholders. The successful candidate will work closely with the research team under Prof Lam Yeng Ming to develop scale up processes and also planning and coordination of the project.

Key Responsibilities:

• Carry out the synthesis of nanostructured materials.

• Conduct advanced characterization on porous particles including SEM/BET/etc.

• Develop workflow for scaling up of processes.

• Generate/Write reports.

• Collaborate with internal and external stakeholder on the various studies in the different labs

• Mentoring interns.

• Maintenance of lab or equipment or supplies that include procurement and liaison with suppliers.

• Produce high quality reports and documents that consolidate research findings.

Job Requirement:

• Diploma in Materials Science, Chemical Engineering, Chemistry, or a related field.

• Some relevant technical hands-on experience in synthesis and working in a wet laboratory environment.

• Some experience morphological/structural techniques for materials characterization.

• Ability to work independently and as part of a team with strong initiatives.

• Good communication and written skills.

• Responsible and passionate self-starter.

• Ability to work independently and develop robust solutions under strict timelines.

• Meticulous and organized, with a strong eye for detail and excellent time management skills.

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

Highlights:

• West Area (Nearest MRT: Buona Vista/Commonwealth/One-North)

• 2 shift duties

• 1 year contract renewable

• with AWS

• Multinational Pharmaceutical Company
  

Job Description:

• Screen study participants in accordance with regulatory guidelines and ethical standards.

• Conduct informed consent discussions and ensure participants understand the study's requirements.

• Monitor patient progress and collect data during clinical trials, ensuring accurate documentation.

• Administer study-related interventions as per protocol, including medications and treatments.

• Conduct assessments and follow-ups with participants, addressing any concerns and providing education.

• Maintain accurate records and databases, and assist with data analysis as needed.

• Participate in training sessions and workshops to stay updated on clinical research practices.
  

Requirement:

• Valid SNB & BCLS and Diploma/Degree in Nursing

• Able to perform IV Cannulation and Phlebotomy
  

Open to take without research experience, on the job training provided!

Interested applicants, kindly furnish us with your detailed resume in MS Words format and click "Apply Now" button

*We regret to inform only shortlisted candidates will be notified. Applicants who do not possess necessary experience or qualification will still be considered on individual merits and may be contacted for other opportunities. *

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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-%28Point-of-Care-Diagnostics%2C-iHealthTech%29/33268-en_GB/

We regret that only shortlisted candidates will be notified.

About iHealthTech

At iHealthtech, we envision advancing health through innovation, integration of smart technology and on-demand health solution. Our organisation consists of an interdisciplinary team of scientists, engineers, and clinicians who work with our industrial partners to push the frontier of science to meet patients' needs. 

Job Description

We are seeking highly motivated Research Assistants to join a multidisciplinary team developing next-generation point-of-care (POC) diagnostic technologies for cardiovascular and other diseases.

Successful candidates will contribute to one or more of the following research areas:
•    Electrochemical biosensors for disease biomarker detection
•    Passive microfluidic plasma separation devices for finger-prick blood sampling
•    Portable wireless electrochemical reader systems, embedded electronics, and AI-enabled diagnostics

These positions offer hands-on experience at the intersection of biomedical engineering, microfluidics, biosensors, electronics, software development, and translational healthcare technologies.

Key Responsibilities

• Design, prototype, and test microfluidic devices, electrochemical sensors, and portable diagnostic systems.
• Support fabrication processes including micro/nanofabrication, surface modification, and device integration.
• Conduct experimental evaluation of device performance using biological samples and laboratory models.
• Assist in the development of embedded systems, data acquisition hardware, wireless communication modules, and user-interface software.
• Support signal processing, data analysis, and integration of AI-based analytical tools for automated interpretation of diagnostic results.
• Collect, organize, and analyze experimental data using appropriate software tools.
• Work closely with postdoctoral fellows, clinicians, engineers, and interdisciplinary collaborators.
• Maintain laboratory records, prepare technical reports, and contribute to publications and presentations.
• Ensure compliance with laboratory safety procedures and good research practices.

Qualifications

• Bachelor’s or Master’s degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Mechanical Engineering, Materials Science, Chemical Engineering, Biotechnology, Computer Science, Chemistry, or a related discipline.
• Hands-on experience through coursework, research projects, internships, or laboratory work in one or more of the following areas:Biosensors and electrochemistryMicrofluidics and lab-on-chip systemsBiomedical device developmentEmbedded systems and electronicsSoftware development and data analysis
• Strong analytical, organizational, and problem-solving skills.
• Ability to work effectively in a multidisciplinary research environment.

Preferred Skills

Experience in one or more of the following areas will be advantageous:

• Electrochemical sensing and techniques such as CV, DPV, SWV, EIS
• Microfluidic device design, fabrication, and plasma separation technologies
• Microcontrollers, embedded firmware, wireless communication systems, and hardware prototyping
• Surface chemistry, biomolecular functionalization, and bioassay development
• CAD design, 3D printing, laser cutting, or soft lithography
• Data analysis, signal processing, AI/ML, Python, MATLAB, or related tools
• User-interface development and scientific data visualization
• Strong interest in translational diagnostics, point-of-care technologies, and biomedical innovation

Application

To apply, please send the following to the NUS Career portal:

• Curriculum Vitae (CV)
• Names and contact details of three referees (name, institution, and email)

We regret to inform you that only shortlisted candidates will be contacted.  

We are seeking an innovative and technically skilled researcher to join our team, specializing in adaptive machining. is a key technology for generative and regenerative applications at the heart of ARTC’s remanufacturing and manufacturing research. We are looking for people with the passion and drive to join us as part of the Remanufacturing Process Technology (RPT) Group. The scope of the role will be to work on research in advancing machining technologies by integrating adaptive techniques, leveraging knowledge in CNC machining, CAD/CAM programming, software development, and basic Artificial Intelligence (AI) concepts. This role provides an exciting opportunity to contribute to cutting-edge research aimed at improving efficiency, precision, and sustainability in machining processes.

Responsibilities:

• Perform research, conduct experimental work and analysis in a project-based environment
• Lead / Support the technical execution and delivery of projects, including project scoping activities and industrial customer engagement as well as capability development in line with the technical roadmap of the Group and Division, fostering collaboration with other teams / groups / research entities as needed
• Conduct research on adaptive machining techniques, including automated decision-making systems, dynamic process adjustments, toolpath optimization, scanning and data gathering technologies, and machine to machine communication.
• Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.
• Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.
• Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.
• Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.
• Any other ad-hoc work for the team, Group, Organisation and A*STAR with possible secondary roles

Job Requirements:

• At least a Bachelor’s Degree in in Mechanical Engineering, Manufacturing Engineering, Computer Science, or a related field.
• Prior experience of CNC machining, familiarity with machining processes and equipment, knowledge of machine communication (OPC-UA, TCP/IP) is advantageous.
• Proficiency in CAD/CAM/CAE software, preferably in Siemens NX / Solidworks / PowerMill
• Proficiency and/or knowledge in programming languages such as Python, VB.Net, C#, C++, MatLab, etc.
• Preferably with experience working in an industry-driven R&D environment
• Fluency in English with good written, spoken and comprehension skills
• Ability to communicate, interact and work professionally in a collaborative environment as a team player
• Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders
• Ability to think critically and is problem-solving oriented
• Ability to work effectively and independently
• Ability to demonstrate high level of initiative to learn and adapt new technologies to stay relevant

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.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Design and implement AI for software engineering solutions.
• Conduct evaluations and/or user studies to validate the effectiveness of the algorithms and tools.
• Write and publish research papers and present them to reputable academic conferences.
• Package the documents, implementation code, evaluation results of the project for release.
• Liaise with other team members of this project to realize the overall goal of the project.
• Other duties as assigned.

• Minimum Bachelor Degree in Software Engineering/Computer Science/Information Systems.
• Minimum 1 year of relevant research experience in AI for Software Engineering research.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.
• Excellent knowledge about software engineering and artificial intelligence.
• Highly fluent in Python and Java.
• Competent in designing and implementing algorithms and data structures.
• Excellent oral and written communication skills.
• Excellent analytical, technical and problem-solving skills.
• Self-motivated individual who can work independently and also collaboratively with team members.
• Able to work under strict deadlines.
• Research capability as evidenced by tangible deliverables i.e., at least a first-authored papers in major (SCIS A orCORE A or CCF B) conference / journal in the field of AI or software engineering.

#LI-JN2

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Coastal-modelling-with-AI%29/33271-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow coastal environments.

The successful candidate will work on developing and improving depth-integrated, phase-resolving coastal models, with machine learning techniques incorporated to enhance model accuracy, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to train, validate, and improve model performance.

The developed model will be applied to coastal engineering problems, including wave transformation, nearshore circulation, and extreme coastal processes. Depending on the project needs, the model may also be coupled with high-resolution CFD models to enable multi-scale coastal process modelling.

Job Requirements

•    Possess a PHD in related field such as coastal and ocean engineering. 
•    Preferably with experience and knowledge in numerical modelling, hydrodynamics, wave theories, and artificial intelligence. 
•    Strong written and spoken communications. 
•    Strong quantitative skills. 
•    Having pior good publication record is advantageous.
•    Open to fixed-term contract.

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research.

NIE invites suitable applications for the position of Senior Executive / Executive, Research Support and Grants Management with the Office for Research (OfR). The Research Support and Grants Management Unit manages pre and post award administration of internal and external research grants, enabling NIE faculty to secure research funding and administer grants effectively in compliance with funding and institutional requirements.  The unit also oversees all Research Support functions in capacity building faculty staff.

Responsibilities

• Support the NIE faculty in the administration of both internally-funded and externally-funded research grants at the pre and post-award stages.
• Facilitate research grant administration processes, including grant applications, completeness checks, grant awards, grant variations, progress reports, final reports, and grant closure processes.
• Coordinate research grant administration policies, guidelines as well as terms and conditions in accordance with funding agencies’ and Institute’s regulations, including compliance requirements.
• Provide consultation to research teams on grants processes, budgeting, and guidelines as and when required.
• Collaborate with team members in research support initiatives/events that are organised by the Research Support and Grants Management (RSGM) unit.
• Design/create grant-related infographics, posters, and/or collaterals for stakeholder communication and events where required.
• Maintain the RSGM unit’s documents, webpages, databases, records, and SOPs so that they are updated in a timely manner.
• Facilitate appointment/reappointment and contract renewals for research staff who will be hired via NIE faculty’s research grants.
• Liaison officer with internal and external stakeholders, including auditors if necessary.
• Organise and provide secretarial and logistical support for NIE internal research grants’ review panel meetings, including recording of minutes.
• Support the Associate/Assistant Deans in RSGM matters as and when needed.
• Any other duties as assigned by the reporting officer.

Requirements

• A Polytechnic diploma.

• Preferably with 2 to 3 years of relevant experience in research development, grant management, or a related role in a university or research setting.

• Able to learn fast, multi-task, prioritise, and work within tight timelines.

• Possess good writing, communication, and interpersonal skills to work with faculty and staff across various departments.

• Strong team player.

• Strong numerical skills with an eye for detail with the ability to review and improve research proposals when necessary.

• Strong planning and organisational skills.

• Demonstrate excellent knowledge of MS Office applications and willingness to learn or use new IT software, AI tools and applications as and when required.

• Able to monitor compliance in policies and uphold governance of policies.

• Experience in event management will be an added advantage.

• Experience in traditional and digital marketing (e.g., designing infographics, website/social media) will be an added advantage.
  

Application

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

Job Description

The project is related to exploration and application of artificial intelligence (AI) in design, analysis, discovery and validation of new ferroelectric and piezoelectric material for high-performance energy conversion or signal transmission functions. The materials particularly include ferroelectric and piezoelectric single crystals and thin films as demanded for producing competitive MEMES devices and ultrasonic transducers. The job scope covers design, growth, evaluation and analysis of ferroelectric and piezoelectric materials and related database generation for AI implementation, and relevant validation and demonstration.

Requirements:
• Ph.D in physics, material science, engineering; or a bachelor/master degree holder with expertise and skills related to data science (Scientist or Engineer position)
• Passion in creating new ferroelectric and piezoelectric materials, or application of AI in analyzing and discovering ferroelectric and piezoelectric materials.
• Any of R&D experience below: ferroelectric and piezoelectric characterization and analysis; data science, machine learning for design and validation of new materials; growth of piezoelectric single crystal; solid-state crystal growth; fabrication of ferroelectric thin films and ceramics.
• Good track record in technical publication, high performance record in university, or verifiable experience in the relevant areas as stated above.

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.

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 Office of Patient Engagement (OPEN) at LKCMedicine is a dedicated Centre in Lee Kong Chian School of Medicine that integrates patient and public voices into health research and medical education, ensuring research is shaped with those who have lived experience. OPEN supports researchers and educators to embed meaningful patient and public involvement (PPI) across the research lifecycle and engages with a diverse patient partner network that collaborates on research, education, and engagement activities. Through training programmes for patient partners, researchers, clinicians, and educators, and a dedicated research programme, OPEN builds capability and fosters partnerships that strengthen the quality, relevance, and impact of health research and education, contributing to broader efforts to improve healthcare through evidence generation.

For more details, please view https://www.ntu.edu.sg/medicine/research/office-of-patient-engagement-(open). 

We are looking for a  Research Fellow or Senior Research Fellow to support the design and delivery of a structured patient and public involvement (PPI) programme for National Precision Medicine (NPM) Phase 3, in partnership with PRECISE and LKCMedicine. It contributes to building patient and public partner capability and coordinating engagement and co‑design activities that integrate patient and public perspectives into research recruitment, consent, communications, and return‑of‑results processes. Through this work, the role helps strengthen the relevance, quality, and impact of large‑scale precision medicine research.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of qualitative and co-design studies

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and fundingt timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• PhD  degree in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, including competence in workshop and focus group facilitation, and ability to publish in high impact journals and present at local and international conferences.

• Proficiency in qualitative research, co-design, and use of related software e.g. Microsoft Suite, NVivo

• Ability to work independently, with excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.

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 Liu Lab (Principal Investigator: Dr. Yi Liu) of the Cancer Discovery and Regenerative Medicine Programme at the Lee Kong Chian School of Medicine (LKCMedicine) is a collaborative, forwarding-thinking, and innovative cell biology research laboratory. The lab aims to conduct impactful and creative cancer and stem cell research by leveraging 3D cell models including organoids and spheroids. For more details, please view the Liu lab website https://liulab.myportfolio.com/ & the programme website https://www.ntu.edu.sg/medicine/research/research-programmes/cancer-discovery-regenerative-medicine.

We are seeking a motivated Research Associate to join our team in advancing cancer and stem cell biology research. The role will independently executing experimental protocols, collecting and analyzing data, and contributing to our understanding of cancer mechanisms and stem cell behavior.

Key Responsibilities:

• Maintain and develop complex cellular models, including organoids, 3D spheroids, and 2D cell cultures.

• Independently conduct and analyze a range of molecular and cellular biology experiments, utilizing techniques such as qRT-PCR, CRISPR-based genetic manipulation, advanced live-cell imaging, and biochemical assays.

• Collaborate directly with the Principal Investigator (PI) and PhD students to execute outlined research plans and optimize experimental protocols.

• Support laboratory compliance and safety by assisting and contributing to the creation of Risk Assessments (RAs) and Standard Operating Procedures (SOPs).

Required educational qualification, experience, skills and competencies:

• Master degree in cell biology, biochemistry, or molecular biology

• Candidate must have Minimum of 1 year of hands-on laboratory experience with organoid culture and stem cell maintenance

• Good written and oral communication skills

• Demonstrated ability to develop, manage, and execute research plans

• Competent in observance, patience, resilience, and determination

• Excellent interpersonal skills, including the ability to work independently and collaboratively to develop solutions and troubleshoot under strict timelines

• Highly meticulous with a strong attention to detail, excellent organizational, and time management skills

• Entry level candidates are welcome to apply

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.

Primary Care and Family Medicine is a Programme within Population & Global Health.  The key objective is to support efforts to advance high-quality, person-centred care across the life course through research, education and partnership with primary care providers and communities. We work closely with the Office of Patient Engagement (OPEN) to ensure patient and public voices meaningfully shape the design, delivery and evaluation of primary care research, education and improvement initiatives, and to build capability for patient and public involvement and engagement (PPIE) across the School. Building Primary Care Innovation to Implementation Laboratory’s focus on translating evidence into real-world impact, our work spans health services research, implementation science, quality improvement and evaluation of models of care in family practice and community settings, working with clinicians, health systems and stakeholders to test and scale practical solutions that improve access, experience, outcomes and equity for patients and families.

We are looking for a Research Fellow to play an essential role in the development and evaluation of a programme of work to optimise cancer screening uptake in primary care. The role will build on existing co-design work and employ mixed methods to develop implementation and evaluation of a family history tool to designed to support risk stratification and identify individuals who may benefit from more intensive screening or referral to genetics services. Working alongside health service and patient partners, you will generate evidence of what works in real-world community and primary care settings.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of mixed method studies and trials

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and grant timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Assist in the supervision of student projects within the program of work.

• Assist in the research capacity development of primary care researchers and clinicians

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• PhD degree in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, with competence in workshop and focus group facilitation. 

• Proficiency in qualitative research, scoping reviews, co-design, and use of related software e.g. Covidence, Microsoft Suite, NVivo

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

• Ability to work independently, excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.

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.

Primary Care and Family Medicine is a Programme within Population & Global Health.  The key objective is to support efforts to advance high-quality, person-centred care across the life course through research, education and partnership with primary care providers and communities. We work closely with the Office of Patient Engagement (OPEN) to ensure patient and public voices meaningfully shape the design, delivery and evaluation of primary care research, education and improvement initiatives, and to build capability for patient and public involvement and engagement (PPIE) across the School. Building Primary Care Innovation to Implementation Laboratory’s focus on translating evidence into real-world impact, our work spans health services research, implementation science, quality improvement and evaluation of models of care in family practice and community settings, working with clinicians, health systems and stakeholders to test and scale practical solutions that improve access, experience, outcomes and equity for patients and families.

We are looking for a Research Associate or Senior/Research Fellow to play an essential role in the development and evaluation of a programme of work to optimise cancer screening uptake in primary care. The role will build on existing co-design work and employ mixed methods to develop implementation and evaluation of a family history tool to designed to support risk stratification and identify individuals who may benefit from more intensive screening or referral to genetics services. Working alongside health service and patient partners, you will generate evidence of what works in real-world community and primary care settings.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of mixed method studies and trials

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and grant timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Assist in the supervision of student projects within the program of work.

• Assist in the research capacity development of primary care researchers and clinicians

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• Master degree (for Research Associate) or PhD degree (for Senior/Research Fellow) in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, with competence in workshop and focus group facilitation. 

• Proficiency in qualitative research, scoping reviews, co-design, and use of related software e.g. Covidence, Microsoft Suite, NVivo

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

• Ability to work independently, excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.