Total 483 Science / R&D / Research job vacancies in BUKIT PASIR

Established in 2011 in a joint effort by the Maritime and Port Authority (MPA), the Agency for Science, Technology and Research (A*STAR) and the Singapore Economic Development Board (EDB), SMI develops strategies and programmes to achieve its mission with key focus areas in sectors such as port, shipping and maritime services. SMI charts the maritime research strategy and promotes greater industry-academia R&D collaborations to be undertaken in Singapore.

Role and Responsibilities

We are seeking for a Manager/Assistant Manager, to be part of our R&D team, to strive towards our Mission in establishing Singapore as a leading global maritime research centre of excellence in Next Generation Port, Smart Shipping, and Green Technologies.

You will support the Deputy Executive Director and work with a team of R&D managers to strengthen R&D collaborations between our maritime industry and academia partners.

The key responsibilities will include:

Strategy Planning

· Map out latest developments and carry out gap analyses in science and technologies relevant to maritime domain, and identify new emerging areas for Singapore’s maritime strategic interests;

· Develop strategies, initiatives and programmes for the translation, deployment, commercialisation, and internationalisation of maritime R&D through engaging government agencies, Institutes of Higher Learning (IHLs), Research Institutes (RIs), maritime companies and other relevant stakeholders

Initiatives and Programmes

· Plan and implement R&D programs and initiatives;

· Evaluate R&D proposals submitted or led by IHLs/RIs;

· Oversee and manage performances of maritime Centres of Excellence and Programme Partners;

· Manage awarded projects and budgets, including variations to budget/ project duration/ project-lead, collation of reports, and review of completed projects.

Engagement

· Engage potential overseas IHLs/RIs to identify synergies, coordinate maritime R&D collaborations, and facilitate multilateral R&D engagements for impactful joint initiatives.

· Engage companies in the maritime industry to understand their technology and business needs, partnering with key stakeholders to showcase local R&D capabilities, and facilitating research opportunities by harmonizing industry needs with local R&D capabilities;

· Drive partnerships between the research ecosystem and industry, and to catalyse technology commercialisation, focusing on industry collaboration projects and translation platforms in the maritime domain

· Plan and organise engagement visits to project partners

Other Duties:

· Oversee R&D processes to ensure compliance with established funding policies and procedures;

· Manage internal R&D capability development and resourcing;

· Represent SMI in R&D matters, when required or any other ad hoc duties assigned.

Qualification and Experience

a. Background in maritime, science or engineering fields with 3 years of relevant working experience

b. Experience in R&D strategy formulation, technology fore-sighting / road mapping, technology translation, and/or good working knowledge of the R&D landscape in Singapore.

c. Experience with grant governance and administration e.g. funding guidelines or compliance requirements;

d. Strong interest in applied science and technology R&D and research community engagement

e. Strong basics in computing, data science, and AI applications related to robotic or autonomous physical systems or industry-relevant problems are also welcome

Skills

a. Proficient in Microsoft Office and grant management software (e.g. Oracle Netsuite);

b. Good analytical skills, with an ability to take a strategic perspective when formulating proposals and recommendations;

c. Excellent interpersonal, communication and presentation skills for effective engagement of senior stakeholders, partner agencies, IHLs/RIs and companies;

d. Proven planning and organisational abilities.

This is an exciting opportunity to join an early-stage biotech venture working at the forefront of yeast fermentation. As a Research Intern, you will support ongoing R&D efforts in strain engineering and bioprocess development to enable the production of innovative lipid ingredients via precision fermentation.

You will work closely with the CTO, Senior Strain Engineer, and broader technical team, gaining hands-on experience in genetic engineering, microbial cultivation, and experimental design in a fast-paced startup environment.

Job Description:

• Support routine laboratory operations, including keeping well-organized experimental records and preparation and maintenance of strains, reagents, and consumables
• Execute day-to-day experimentation, including molecular biology workflows and strain screening
• Assist in the design, construction, and testing of engineered microbial (yeast) strains
• Support lipid and fatty acid characterization through analytical assays
• Contribute to ongoing strain engineering and fermentation optimization projects

Ideal Qualifications:

• Currently pursuing or recently completed a Bachelor’s degree in Bioengineering, Chemical Engineering, Microbiology, Molecular Biology, or a related field
• Basic laboratory experience in molecular biology, microbiology, or biochemical engineering
• Familiarity with yeast systems or microbial fermentation is a plus
• Exposure to genetic engineering techniques (e.g.,cloning, transformation, CRISPR) is advantageous
• Singaporean and Singapore PR applicants only

Ideal Skills and Attributes:

• Strong interest in strain engineering, synthetic biology, and industrial biotechnology
• Good foundational knowledge in biochemistry and microbial metabolism
• Detail-oriented with good record-keeping and organizational skills
• Eagerness to learn, take initiative, and work in a fast-paced research environment
• Strong communication and teamwork skills

Location: The position is based out of Singapore. Singaporean and Singapore PR applicants only.

Application: Please send your resume and a cover letter outlining why you’d be interested in this position to shen@terraoleo.com with email subject "Research Intern 2026 - [Your Name]." Compensation will be commensurate with similar research internship roles.

About Terra Oleo:

Terra Oleo is a Singapore-based biotech venture harnessing microbial fermentation to develop sustainable alternatives to conventionally palm oil–derived ingredients and cocoa butter, with the goal of decarbonizing and advancing industries such as personal care, home care, food, and pharmaceuticals.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/32353-en_GB/?st=6AAA9CF1EC5AC75CE5B99AF9E75B8B862174B57C

We regret that only shortlisted candidates will be notified.

Job Description

One Research Fellow position is currently available in the Department of Statistics and Data Science, National University of Singapore.  The successful candidate will work with Prof Zhou Wang on random matrix theory under a project on "Toward robustness against distribution shift in the open environment".

The main responsibilities of the position include to develop random matrix theory, especially for sample covariance matrices. Candidate with strong background in probability and machine learning would be a plus.

Qualifications / Discipline:  
•    The candidate should have a PhD degree in Statistics or related area.

Skills:  
•    The applicant is expected to develop random matrix theory, especially for sample covariance matrices.

Experience:   
•    The candidate should have research experience of 2 - 3 years.

The Perse School (Singapore) is seeking a dynamic and adaptable Teacher of Computer Science to join our expanding Senior School, opening in August 2025. The successful candidate will play a key role in establishing the Computer Science Department, initially delivering engaging lessons to Years 6 to 10, growing through to Year 11 and A Level/IB Diploma.

Ideally, applicants will have the ability to teach a second STEM subject up to Key Stage 3 or beyond.

As the school grows, this role may include leadership responsibilities within the Science Faculty, providing an exciting opportunity to shape the development of computing education within the Senior School. The post-holder will contribute to the delivery of the Cambridge International Computer Science Curriculum, ensuring students are well-prepared for IGCSE Computer Science and related examinations.

In addition to teaching responsibilities, the successful candidate will serve as a Form Tutor, providing pastoral care and fostering students' personal growth. They will also contribute to the school’s extracurricular programme, engaging students in coding clubs, robotics teams, and computing competitions.

Key Responsibilities:

• Develop and deliver a rigorous and engaging Computer Science curriculum, in line with the Cambridge International Curriculum and The Perse School ethos.
• Teach Computer Science across age ranges from Year 6 through to IGCSE, and A Level/IB Diploma, inspiring students to develop computational thinking and problem-solving skills.
• Support students in preparing for IGCSE Computer Science, for first examination in May/June 2027, delivering a well-structured and challenging course.
• Collaborate with Junior School teachers to ensure curriculum continuity and smooth progression from the Coding and Robotics course taught from Year 3.
• Teach a second subject (e.g., Mathematics, Physics, or another STEM subject) up to Key Stage 3 or 4, where applicable.
• Provide guidance and support as a Form Tutor, promoting students' personal and social development.
• Establish positive relationships with parents, keeping them informed of their child’s progress and addressing any concerns.
• Incorporate innovative teaching strategies and educational technology to enhance learning in Computer Science.
• Create an inclusive and stimulating classroom environment, catering to diverse learning needs, including EAL learners.
• Contribute to the extracurricular programme by leading coding clubs, robotics teams, hackathons, or cybersecurity competitions.
• Engage in professional development and mentor colleagues to promote best practices in computing education.

Person Specification:

Essential Skills and Attributes:

• Strong subject knowledge in Computer Science and effective teaching strategies to support diverse learners.
• Experience teaching Computer Science to students aged 11–16, with familiarity in preparing students for IGCSE or equivalent examinations.
• Excellent interpersonal and communication skills, fostering strong relationships with students, parents, and colleagues.
• Cultural sensitivity and awareness, with the ability to thrive in an international school setting.
• Strong organisational skills and the ability to manage responsibilities effectively in a dynamic environment.
• Proficiency in using technology, coding languages (Python, Java, etc.), and multimedia tools to enhance Computer Science education.
• Demonstrated ability to inspire and motivate students to achieve their full potential in computing.

Desirable Skills and Experience:

• Ability to teach a second STEM subject (Mathematics, Physics, or another relevant discipline) up to Key Stage 3 or 4.
• Experience in developing curriculum frameworks or leading a team within a Technology or Computing Department.
• Experience working with EAL learners, incorporating strategies to support language acquisition in technical subjects.
• Familiarity with concept-based, project-based, or inquiry-based learning approaches.
• Experience teaching in an international school context.
• Passion for integrating Computer Science into cross-curricular initiatives, including STEM projects, AI, and cybersecurity awareness.

Safeguarding:

The Perse School (Singapore) is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All candidates will be subject to rigorous safeguarding checks, including reference checks, an enhanced DBS (Disclosure and Barring Service) check, and verification of qualifications and employment history.

As part of our commitment to safeguarding, all staff are required to uphold the school’s safeguarding policies, attend regular training, and promote a safe and inclusive environment for all students. Any gaps in employment must be explained, and candidates should be prepared to discuss their approach to safeguarding in education as part of the recruitment process.

Disclaimer

The statements above outline the general nature and scope of work for individuals in this classification. They are not intended to be a comprehensive list of all responsibilities, duties, and skills required. Personnel may be asked to perform tasks beyond their usual responsibilities as needed.

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-%28DISA%29/32357-en_GB/?st=41085BF5874C402EC4DA49352CBB9F7BD4C5EDB7

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Information Systems and Analytics (DISA), School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Information Systems and Analytics.

The successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Artificial Intelligence and Machine Learning
• Computer Vision
• Algorithms
• Circuits and Systems
• Programming Languages & Software Engineering

Qualifications

• Bachelors or fresh Master’s degree in a relevant area
• Experience in research
• Comfort in reviewing and summarizing research papers
• Comfort in handling and analyzing large data sets
• Prior research experience preferred
• Strong command of English (written and spoken)

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-Associate-in-cQED-devices/32356-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

Consolidate studies associated with using echo conditional gates to create quantum states and operations. Train new students in general lab operations, usage of common tools, and measurement processes. Complete data-taking and drafting of manuscript on the quantum simulation of nonlinear potentials. 

Qualifications

Comprehensive knowledge of the team’s infrastructure, tools, and standard workflow in the lab. in-depth experience on designing and testing cQED devices. 

At Experimental Drug Development Centre (EDDC), we are dedicated to discovering and developing novel therapeutics through close collaboration with public sector institutions and industry partners. Drug discovery is a complex and resource-intensive journey, and we harness AI and data-driven strategies to improve the success rate of our programs. As part of our long-term strategy, we initiate projects where confidence in the therapeutic targets is strengthened by insights from patient-derived datasets. Like many biotech and pharmaceutical companies that are expanding into inflammation and immunology (I&I) disease areas, our approach reflects this growing trend and aims to deliver innovative solutions to address significant unmet medical needs in this area.

We are seeking a highly motivated and experienced Senior Scientist to join our I&I discovery group. The ideal candidate will have a strong background in immunology, molecular biology, and translational research. This is an exciting opportunity to be a part of the team working on the discovery of novel therapeutics and engaging in preclinical drug development from target exploration to drug candidate selection within the I&I therapeutic space.

Principle Roles & Responsibilities:

• Lead and design preclinical research programs focused on identifying and validating novel therapeutic targets in immunology.
• Develop and optimize cell-based assays, flow cytometry panels, and molecular biology techniques to support drug discovery.
• Participate in the evaluation of internal as well as external collaborative projects.
• Analyze, interpret, and present complex data to internal stakeholders and external partners.
• Stay up to date with relevant scientific literature, research on translatability of preclinical disease models and novel mechanisms of action of particular importance within the I&I therapeutic space.
• Collaborate with cross-functional teams including medicinal chemistry, antibody technology, in vivo pharmacology, computational biology and clinical development.
• Mentor and train junior scientists, providing technical guidance, fostering scientific development, and supporting career growth within the team.

Requirements:

• Ph.D. in Immunology, Cell Biology, Molecular Biology, or related field with > 8 years working experience and minimally 3 years experience in the industry sector.
• Strong expertise in immune cell biology, cytokine signalling, and autoimmune disease models.
• Experience with primary human PBMCs, along with a strong understanding of tissue repair and regeneration in the context of immune resolution.
• Proven expertise in developing and optimizing cell-based functional assays.
• Excellent communication and presentation skills, with the ability to clearly convey scientific concepts and influence stakeholders across multidisciplinary teams.
• Proven track record of scientific innovation, publications, and project leadership.
• Ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Experience with biologics or small molecule therapeutics is preferred.
• Familiarity with bioinformatics tools and multi-omics data analysis is preferred.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Machine-Learning%29-1/32348-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications

Available data include:

•             Numerical weather prediction (NWP) model outputs

•             Weather satellite imagery

•             Radar observations

•             Lightning detection networks

•             Surface sensor observations (e.g., rainfall and wind)

The successful candidates will:

•             Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting.

•             Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification strategies.

•             Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling.

•             Collaborate with domain experts and (where relevant) operational stakeholders.

•             Drive scientific breakthroughs and contribute to publications and cross-institutional collaborations

Qualifications

Required / strongly preferred

•             PhD in Computer Science, Data Science, Engineering, Physics, or related.

•             Strong Python and PyTorch; experience with multi-GPU/distributed training and performance optimization.

•             Experience with real-world geospatial/sensor data (quality control, cleaning, visualization).

•             Strong communication and collaboration skills.

Highly desirable

•             Deep learning expertise: generative models, physics-aware learning, uncertainty modelling.

•             Dense spatiotemporal prediction (e.g., video prediction, precipitation nowcasting).

•             Atmospheric science / tropical meteorology background (a plus, not required).

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/Senior-Research-Fellow-%28Power-Electronics%29/32337-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Manage the research project with Principal Investigator (PI) and the research team members to study, evaluate, propose and innovate on the following:
(1) High-switching frequency high temperature operation of Wide Band Gap (WBG) SiC Semiconductor devices and applications. 
(2) Establish foundational work in the modelling, design, performance evaluation, and benchmarking of SiC power devices and power electronics.
(3) Characterization of new semiconductor devices 
(4) Electrical Circuit Modelling of SiC devices at high switching frequency and high temperature.
(5) Thermal modelling and advanced cooling at high temperature of SiC devices.
(6) Simulation model of new SiC devices
(7) Loss modelling and analysis
(8) EMI filter design
(9) Gate driver design (high frequency and WBG parasitic)
(10) Benchmarking for specific applications and demonstrate features of cost, density, and weight
Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
•    Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
•    Coordinate procurement and liaison with vendors/suppliers.
•    Mentor students involved in the research project
•    For those hired at senior levels, management responsibilities may be included

Qualifications

•    Have a PhD degree in Electrical Engineering or equivalent from a recognized University with major in Power Engineering
•    Have 3 or more years’ relevant postdoctoral research experience in power electronics, high frequency gate driver circuit design, EMI filter, loss analysis, switching strategies, and closed loop control system
•    Strong knowledge of power electronics, drives, and WBG semiconductor devices is highly preferred. Experience with hardware testing and real-time simulation will be advantageous. 
•    Knowledge and hands-on experience in Wide band gap semiconductors, device parasitic, device simulation, gare driver design for WBG devices, EMI filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. 
•    Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
•    Prior knowledge and experience in digital twins/HIL will be a bonus
•    Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful
•    Experienced and committed to participating in project meetings.
•    Self-motivated team player and good project management skills.
•    Excellent communication and interpersonal skills.
•    Open to Fixed Term Contract.

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/Senior-ExecutiveAssistant-Manager-%28Research-Administration%29/32338-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

a) Programme and Project Management
• Support the Principal Investigator in the strategic and operational management of a large portfolio of modelling and public health research projects.
• Develop and maintain detailed project plans, timelines, risk registers, and milestone tracking systems across multiple concurrent studies.
• Monitor project progress to ensure deliverables, reporting requirements, and key performance indicators are met.
• Coordinate across modelling teams, data analysts, collaborators, and institutional stakeholders to maintain alignment and momentum.
• Identify operational risks or bottlenecks and proactively implement mitigation strategies.
b) Grant and Financial Management
• Support pre award and post award grant management activities in coordination with institutional research administration units.
• Track project budgets, expenditures, and burn rates across grants to ensure financial compliance and sustainability.
• Prepare financial and progress summaries for the Principal Investigator and funding agencies.
• Assist in the preparation of grant reports, renewals, and new funding applications where required.
c) Stakeholder and Collaboration Management
• Serve as a central coordination point between the Principal Investigator, research team members, institutional offices, and external collaborators.
• Facilitate communication across multi institution and international partners to support complex collaborative projects.
• Organise and manage project meetings, steering committees, and technical working groups, ensuring clear documentation and follow up of action items.
• Support the development and maintenance of collaboration frameworks and data sharing workflows where needed.
d) Research Operations and Delivery Support
• Support the timely production of key research outputs including reports, manuscripts, policy briefs, and technical deliverables by coordinating inputs across team members.
• Maintain organised project documentation, version control, and reporting records aligned with funder and institutional requirements.
• Contribute to continuous improvement of project management systems, particularly for large scale modelling and data intensive programmes.
e) Strategic Growth and Portfolio Development
• Support the Principal Investigator in scaling and coordinating large national and international research initiatives.
• Contribute to the development of new project management structures suitable for complex, multi partner programmes.
• Identify opportunities to strengthen programme efficiency, integration, and external impact.

Qualifications

• Applicants are expected to have at least a Bachelor degree from a recognised institution. Having a scientific background (undergraduate degree in a science discipline) is a plus.
• Preferrably with at least 2 years of experience in an administrative position within academic, research or healthcare sector.
• Candidates with experience in research administration, grant management, agreement review, research ethics, research compliance or database management will be at an advantage.
• A team player with effective problem-solving skills and excellent communication skills to perform well in a fast-paced environment.
• Able to take initiative to learn on the job and manage various responsibilities.
This role is well suited for candidates seeking to build deep expertise in managing large, technically complex research programmes with strong potential progression into senior national and international project management leadership roles.

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

NUS Career Portal link:  https://careers.nus.edu.sg/job/Research-Engineer-%28IC-Designer%29/32340-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the Architectures and circuits for pervasive 5G silicon chip connectivity with end-to-end system millimeter scale and 1,000X reduction in radio power consumption project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    Develop innovative circuit architectures for research projects and performing transistor-level design, simulation, and layout of analog, digital blocks and mixed-signal using industry-standard EDA tools.

•    Drive the silicon chip design through the full tape-out flow, including pre-layout and post-layout simulations, physical verification (DRC/LVS), and parasitic extraction.

•    Develop test plans, designing PCB test boards, and performing detailed silicon characterization and debugging using lab equipment.

•    Authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.

•    Managing technical milestones for the project and providing technical guidance to PhD and Master's students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    Min a bachelor’s degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Machine-Learning%29/32347-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are recruiting full-time Research Fellows to develop hybrid physics-AI methods for weather applications

Available data include:

•             Numerical weather prediction (NWP) model outputs

•             Weather satellite imagery

•             Radar observations

•             Lightning detection networks

•             Surface sensor observations (e.g., rainfall and wind)

The successful candidates will:

•             Develop and benchmark multimodal AI / foundation-model approaches for spatiotemporal forecasting.

•             Build reproducible AI training and evaluation pipelines, as well as uncertainty quantification strategies.

•             Work at the intersection of physics and AI, with an emphasis on geospatial computational modelling.

•             Collaborate with domain experts and (where relevant) operational stakeholders.

•             Drive scientific breakthroughs and contribute to publications and cross-institutional collaborations

Qualifications

Required / strongly preferred

•             PhD in Computer Science, Data Science, Engineering, Physics, or related.

•             Strong Python and PyTorch; experience with multi-GPU/distributed training and performance optimization.

•             Experience with real-world geospatial/sensor data (quality control, cleaning, visualization).

•             Strong communication and collaboration skills.

Highly desirable

•             Deep learning expertise: generative models, physics-aware learning, uncertainty modelling.

•             Dense spatiotemporal prediction (e.g., video prediction, precipitation nowcasting).

•             Atmospheric science / tropical meteorology background (a plus, not required).

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

NUS Career Portal link:  https://careers.nus.edu.sg/job/Research-Fellow-%28Power-Electronics%29/32336-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Manage the research project with Principal Investigator (PI) and the research team members to study, evaluate, propose and innovate on the following:
(1) High-switching frequency high temperature operation of Wide Band Gap (WBG) SiC Semiconductor devices and applications. 
(2) Establish foundational work in the modelling, design, performance evaluation, and benchmarking of SiC power devices and power electronics.
(3) Characterization of new semiconductor devices 
(4) Electrical Circuit Modelling of SiC devices at high switching frequency and high temperature.
(5) Thermal modelling and advanced cooling at high temperature of SiC devices.
(6) Simulation model of new SiC devices
(7) Loss modelling and analysis
(8) EMI filter design
(9) Gate driver design (high frequency and WBG parasitic)
(10) Benchmarking for specific applications and demonstrate features of cost, density, and weight
Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations.
•    Work independently, as well as within a team, to ensure proper operation and maintenance of equipment and assist in laboratory management.
•    Coordinate procurement and liaison with vendors/suppliers.
•    Mentor students involved in the research project
•    For those hired at senior levels, management responsibilities may be included

Qualifications

•    Have a PhD degree in Electrical Engineering or equivalent from a recognized University with major in Power Engineering
•    Relevant experience in power electronics, high frequency gate driver circuit design, EMI filter, loss analysis, switching strategies, and closed loop control system
•    Strong knowledge of power electronics, drives, and WBG semiconductor devices is highly preferred. Experience with hardware testing and real-time simulation will be advantageous. 
•    Knowledge and hands-on experience in Wide band gap semiconductors, device parasitic, device simulation, gare driver design for WBG devices, EMI filter design, high-switching frequency operation, thermal management, high power prototype design and testing, etc. are preferred. 
•    Knowledge of software such as PSIM, PLECS and MATLAB/Simulink
•    Prior knowledge and experience in digital twins/HIL will be a bonus
•    Prior knowledge and experience of AI/ML and automation in power electronics and power system will be useful
•    Experienced and committed to participating in project meetings.
•    Self-motivated team player and good project management skills.
•    Excellent communication and interpersonal skills.
•    Open to Fixed Term Contract

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/Senior-Scientific-Manager-%28NIRBA-Research-Portfolio%29/32324-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National Initiative for RNA Biology and its Applications (NIRBA) is a pioneering national program dedicated to advancing RNA biology research. Established with support from the National Research Foundation (NRF) under the Prime Minister’s Office, Singapore, we unite experts across multiple disciplines to address critical challenges in RNA science and its applications. 

NIRBA consists of four Innovation Clusters each designed to address a key challenge in RNA biology. In each Cluster, research teams are assembled from across the three NIRBA Partners (NUS, A*STAR and NTU) to address specific scientific questions. These Clusters are supplemented by shorter term Satellite programmes, put in place where a novel knowledge gap or problem arises.

The Senior Scientific Manager (NIRBA Research Portfolio) provides scientific management and programme/ portfolio oversight for NIRBA-funded research. The role ensures that the research portfolio is strategically aligned, scientifically rigorous, and delivering high-impact outcomes.

For more information on NIRBA, visit: https://nirba.sg/

Duties & Responsibilities
Key Personal Responsibilities

• Portfolio Strategy: Manage and shape NIRBA’s research portfolio in alignment with strategic priorities and emerging scientific opportunities.
• Scientific Management: Provide expert guidance on research design, milestones, and deliverables across Clusters and Satellite Labs/ Programmes.
• Research Quality & Impact: Promote excellence, reproducibility, innovation, and translational potential within the research portfolio.
• Reporting & Evaluation: Contribute to scientific reporting for Executive Director, CGT-SC, and other institutional stakeholders
• Collaboration & Integration: Foster cross-project collaboration, data sharing, and alignment with national and international research initiatives.
• Scientific Risk Management: Identify scientific risks and recommend mitigation or course-correction strategies.

Key Team Responsibilities

• Program Management: Monitor progress of Cluster projects, Satellite teams, track performance against KPIs, and support timely delivery of outcomes.
• Funding & Review Processes: Support fund allocations to Clusters and Satellite Labs, competitive grant calls, peer review processes, appropriate fund utilization & outcomes.
• Investigator Engagement: Act as a key scientific liaison with principal investigators and research teams, providing guidance and problem-solving support.

Special Projects

• Undertake special initiatives at the discretion of the ED

Other duties & responsibilities

• Any other duties as assigned by ED

Qualifications

Requirments

• PhD in molecular biology, RNA biology, genetics, biochemistry, genomics, or a closely related field
• Postdoctoral experience strongly preferred
• Supervisory experience
• Experience in grant/ programme management, e.g. budgeting, variation/ virement, progress reporting etc is strongly preferred, ideally from multi-institutional programmatic type grants
• Experience in research management e.g. IRB, MTA, IACUC, GMAC submissions and/ or data governance frameworks etc is preferred
• Excellent writing and reporting ability
• Excellent communication and presentation skills

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Visiting-Research-Fellow-%28National-Centre-for-Engineering-Biology%29/32344-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a talented Visiting Research Fellow to join the National Centre for Engineering Biology, Singapore (NCEB), at the National University of Singapore. NCEB aims to advance engineering biology by developing microbial cells that enable biomanufacturing.

The Visiting Research Fellow (RF) will work closely with the Principal Investigator and research team to develop robust microbial cell platforms for biomanufacturing. The RF will design and implement strain engineering strategies, optimise metabolic pathways and cultivation conditions, and generate high-quality experimental data.

Key Responsibilities: 
1. Design, build, and characterise engineered microbial strains for production of target molecules (e.g., enzymes, chemicals, or biomaterials).
2. Develop and optimise genetic constructs and genome engineering workflows (e.g., CRISPR, recombineering, plasmid design, promoter/RBS tuning).
3. Perform metabolic pathway design and optimisation using rational design and/or high-throughput approaches; analyse data to identify bottlenecks and improvement opportunities.
4. Develop and apply analytical assays (e.g., HPLC/GC, LC-MS, plate-based assays) to quantify key metabolites.
5. Document and communicate results through lab records, reports, and presentations; contribute to manuscripts, protocols, and (where applicable) invention disclosures.

Remuneration will be commensurate with the candidate's qualifications and experience. Informal enquiries are welcome and should be made to: Ms Suhana Sulaiman, at suhana_s@nus.edu.sg 

Formal application: Please submit your application, indicating job reference number and current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of 3 referees). Only shortlisted candidates will be notified.

Qualifications

The ideal candidate will:
1. Hold a PhD in Synthetic Biology, Microbiology, Biotechnology, Bioengineering, Chemical Engineering, or a related field.
2. Demonstrated experience in microbial strain engineering and molecular biology (e.g., cloning, genome editing, strain construction and verification).
3. Strong experimental design and data analysis skills, with the ability to interpret results and troubleshoot across the build-test-learn cycle.

Highly desirable:
1. Hands-on experience with fermentation/bioreactors and bioprocess development (media optimisation, feeding strategies, scale-down models).
2. Experience with omics/automation tools (e.g., RNA-seq, proteomics, metabolomics, high-throughput screening).