What Jobs are available for Research Engineer in Singapore?

The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support.

WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up.

The successful candidate will support interdisciplinary projects focused on developing soft materials and 3D printing fixtures for facilitating attaching customized werable ultrasonic transducers onto the human body. He/She will work under the supervision of the Scientific Director and Postdoctoral Associates in SMART WITEC, with mentorship by principal investigators in Singapore and MIT. The successful candidate's primary activities include but are not limited to: 1. Design, synthesis, and characterizing soft materials, such as hydrogels or elastomers, to serve as biocompatible skin adhesive couplant for wearable ultrasound transducers. 2. Fabriate functional gradient acoustic materials to improve the trans-receive effiiency of the ultrasonic transducers. 3. Establish experimental protocols for mechanical, acoustic, and biosafety testing, including ultrasonic impedance, adhesion performance, tissue compatibility, fatigue behavior, and long-term stability on skin. 4. 3D printing fixgtures for fixing wearable ultrasonic transducers on the human body.

Bachelor of Science or Engineering degree, or Diploma in a material, mechanics, physics or bioengineering-related discipline.

Experience in soft material synthesising, material acoustic property characterization.

Experience in 3D printing is essential ( familiar with Formlab or similar 3D printers).

Experience in multiphysics modeling software such as COMSOL or ANSYS is an advantage.

Motivated to learn and work in a multidiciplinary research group.

Detail-oriented with good organizational and commmunication skills as well as record keeping and time management.

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

The Wearable Imaging for Transforming Elderly Care (WITEC) interdisciplinary research group (IRG) is committed to creating next-generation wearable imaging technologies tailored for aging populations. By combining expertise in wearable transducers, biomedical imaging, materials science, data analytics, and healthcare innovation, WITEC aims to design solutions that will improve quality of life, support preventative medicine, and reduce healthcare burdens. Specific objectives include the development of wearable ultrasound imaging systems for doing cardiovascular echography, AI-powered diagnostic algorithms, and integration with digital health platforms for real-time monitoring and clinical decision support.

WITEC brings together interdisciplinary researchers from MIT and Singaporean institutions, including hospitals and research agencies. Through deep collaboration with local partners, including clinicians, industry, and policymakers, WITEC will ensure that its technological advancements are innovative, clinically validated, and suitable for industrial scale up.

The successful candidate will support interdisciplinary projects focused on developing soft materials and 3D printing fixtures for facilitating attaching customized werable ultrasonic transducers onto the human body. He/She will work under the supervision of the Scientific Director and Postdoctoral Associates in SMART WITEC, with mentorship by principal investigators in Singapore and MIT. The successful candidate's primary activities include but are not limited to: 1. Design, synthesis, and characterizing soft materials, such as hydrogels or elastomers, to serve as biocompatible skin adhesive couplant for wearable ultrasound transducers. 2. Fabriate functional gradient acoustic materials to improve the trans-receive effiiency of the ultrasonic transducers. 3. Establish experimental protocols for mechanical, acoustic, and biosafety testing, including ultrasonic impedance, adhesion performance, tissue compatibility, fatigue behavior, and long-term stability on skin. 4. 3D printing fixgtures for fixing wearable ultrasonic transducers on the human body.

Bachelor of Science or Engineering degree, or Diploma in a material, mechanics, physics or bioengineering-related discipline.

Experience in soft material synthesising, material acoustic property characterization.

Experience in 3D printing is essential ( familiar with Formlab or similar 3D printers).

Experience in multiphysics modeling software such as COMSOL or ANSYS is an advantage.

Motivated to learn and work in a multidiciplinary research group.

Detail-oriented with good organizational and commmunication skills as well as record keeping and time management.

To apply, please visit our website at:

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

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

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Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Biomedical Engineering

Employee Referral Eligible: No

Job requisition ID : 30556

SMART M3S is undertaking a project that includes three key work streams:

1) Content: Developing an ontology encompassing various activities, actors, and processes arranged systematically. This involves:

• Extracting content from databases like the Department of Labor's O*Net.
• Human Curation and editing.
• Utilizing Large Language Models(LLMs) for content generation.
• Applying machine learning and statistical techniques to identify clusters of similar activities.

2) Software Tools: Creating a suite of software tools to :

• Browse, edit, and search the online knowledge base.
• Extract content from diverse sources.
• Facilitate human review.
• Integrate LLMs for content generation.
• Support applications demonstrating the ontology's usefulness.

3) Applications: Developing proof-of-concept applications by the end of the one-year project to showcase the ontology's utility. Potential areas include:

• Rapid identification of use cases for generative AI tools.
• Automated generation of detailed workflows and task assignments.
• Stimulating human creativity to address business and societal challenges like climate change and democratic processes.

The Full Stack Developer will perform the following:

• Design, develop and maintain software tools essential for creating and managing the ontology and its applications.
• Work closely with a multidisciplinary team of researchers, developers, and content specialists.
• Integrate Large Language Models into software applications to enhance functionality.
• Optimize existing codebases for performance and scalability.
• Conduct code reviews, write unit tests, and ensure software reliability.

• Bachelor's Degree with proven experience and a strong portfolio
• Deep knowledge and hands-on experience with the following technologies:

1) Frontend:

• TypeScript
• MUI (Material-UI)

2) Backend:

• Firebase and Firebase Cloud Firestore

3) Testing:

• Jest
• Cypress
• Proficiency in LLM Prompt Engineering.
• Excellent analytical and problem-solving skills.
• Ability to work independently and collaboratively in a team environment.
• Strong verbal and written communication skills.

To apply, please visit our website at:

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

This role contributes to Towards Self-Evolving LLM Systems for Optimization Problem Formulation under M3S. We build LLMs that evolve both optimization correctness and efficiency by curating an experience library, applying classic OR techniques (e.g., branch-and-cut, column/row generation) and systematically matching the right method to the right problem structure, and supporting human–AI collaboration for large-scale OR problems and real-world tasks (smart cities, transportation, resource allocation).

• Conduct research and develop systems-level prototypes that focus on self-evolving LLM systems for OR, including experience library curation, probabilistic reasoning, solver-confidence integration, and efficiency-aware formulation.
• Publish research results in top-tier conferences and journals, with focus on venues associated with OR, AI and transportation science.
• Collaborate with OR experts and local partners in Singapore to address applied operations scenarios and pilot implementations.
• Assist in grant writing, project management, and other administrative duties related to research activities.

• Minimum Bachelor's Degree in Computer Science, Operations Research, Data Science, Transportation Engineering, or related fields.
• Hands-on with LLM agent systems, training/fine-tuning and data science workflows (data preparation/ETL, feature engineering, experiment design and metrics).
• Strong background in OR formulations (e.g., integer programming, submodular optimization) and integration with OR solvers (e.g., Gurobi/CPLEX) are essential.
• Project-level experience with building datasets/benchmarks and efficiency evaluation is highly desired.
• Strong publication record in top-tier AI/ML/OR conferences and journals.
• DESIRABLE: Experience leading human-in-the-loop, systems-level studies using Singapore data and piloting with industrial sector, from dataset/benchmark design to field validation.
• Excellent written/oral communication and cross-functional collaboration skills.

To apply, please visit our website at:

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

This role contributes to Towards Self-Evolving LLM Systems for Optimization Problem Formulation under M3S. We build LLMs that evolve both optimization correctness and efficiency by curating an experience library, applying classic OR techniques (e.g., branch-and-cut, column/row generation) and systematically matching the right method to the right problem structure, and supporting human–AI collaboration for large-scale OR problems and real-world tasks (smart cities, transportation, resource allocation).

• Conduct research and develop systems-level prototypes that focus on self-evolving LLM systems for OR, including experience library curation, probabilistic reasoning, solver-confidence integration, and efficiency-aware formulation.
• Publish research results in top-tier conferences and journals, with focus on venues associated with OR, AI and transportation science.
• Collaborate with OR experts and local partners in Singapore to address applied operations scenarios and pilot implementations.
• Assist in grant writing, project management, and other administrative duties related to research activities.

• Minimum Bachelor's Degree in Computer Science, Operations Research, Data Science, Transportation Engineering, or related fields.
• Hands-on with LLM agent systems, training/fine-tuning and data science workflows (data preparation/ETL, feature engineering, experiment design and metrics).
• Strong background in OR formulations (e.g., integer programming, submodular optimization) and integration with OR solvers (e.g., Gurobi/CPLEX) are essential.
• Project-level experience with building datasets/benchmarks and efficiency evaluation is highly desired.
• Strong publication record in top-tier AI/ML/OR conferences and journals.
• DESIRABLE: Experience leading human-in-the-loop, systems-level studies using Singapore data and piloting with industrial sector, from dataset/benchmark design to field validation.
• Excellent written/oral communication and cross-functional collaboration skills.

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

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

.

Qualifications

.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 30497

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

The NUS invites applications for a Research Engineer position. The selected individual is required to:

• Prepare marine concrete using sustainable materials

• Design laboratory method to accelerate the aging of concrete in marine conditions

• Design underwater non-destructive testing method to evaluate the concrete properties after aging.

Job Requirements

• Possess a bachelor's degree in related field.

• Has a solid background in laboratory research of sustainable concrete.

• Preferably with a master's degree in the area of construciton materials, concrete, or cement chemistry, etc.

• Prior experience with academic writing and peer-reviewed journal publication is preferred.

• Embrace teamwork

• Strong written and spoken communication skills

• Open to fixed term contract.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Civil and Environmental Engineering

Employee Referral Eligible: No

Job requisition ID : 30504

Company description:

The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in Singapore

Job description:

Job Description

.

Qualifications

.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 30493