Total 1,919 Science / R&D / Research job vacancies in Overseas

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are seeking a highly self-motivated individual to join the School of Civil and Environmental Engineering (CEE) as a Research Associate. The successful candidate will be responsible for leading and managing research projects, with duties including (but not limited to) project administration, progress monitoring, and reporting.

Key Responsibilities:

• Lead research teams and projects to achieve defined objectives and deliver impactful outcomes.

• Conceive and develop novel research ideas to push the frontiers of biotechnology and bioprocesses.

• Oversee and monitor project progress, ensuring milestones and deliverables are met on time.

• Engage, manage, and liaise with stakeholders, including funding agencies, industry partners, and academic collaborators.

• Supervise and mentor graduate students, while contributing to grant proposal preparation and research publications.

Job Requirements:

• The individual is expected to possess at least a Master’s in Environmental Engineering, Chemical Engineering or a related field.

• Prior experience in biotechnology or bioprocesses related work is highly favorable.

• Good written and oral communication skills.

We regret to inform 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 Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary:

We are seeking a highly motivated researcher with a strong background in food science to join our dynamic R&D team. The successful candidate will work on innovative research projects in the specialty fats domain, focusing on factors that influence product stability, texture, and functionality. This role will involve designing, optimizing, and enhancing fat-based formulations for a variety of food applications.

Key Responsibilities:

1. Research & product development

• Investigate factors affecting emulsion stability and product texture in fat-based food systems.
• Study the physical and chemical interactions between fats and other components (e.g., proteins, emulsifiers, stabilizers) to improve product performance.
• Collaborate with cross-functional teams to translate research findings into innovative techniques and products.

2. Documentation & Reporting:

• Analyze research data, generate detailed reports, and communicate results effectively to supervisor.

3. Additional Duties:

• Support broader R&D objectives by undertaking additional responsibilities as required.

Required Qualifications:

• Degree in Food Science, chemistry or a closely related field.
• Knowledge of fats, proteins and emulsions, with research experience in food systems.
• Strong problem-solving skills, creativity, and a collaborative team-oriented mindset.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially)

• Long-term research agenda development and implementation

Requirements:

• Education qualifications: PhD in Manufacturing and/or Mechanical Engineering/AI 

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming, Research approach development etc.

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance and implementation as well as supervision

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-%28Relative-smooth-optimization-theory%29/33396-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a BSc. in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms  
2.    stochastic process and stochastic approximation methods

In particular, as this is a research assistant position for only 1 year. The applicant should be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

As we plan to apply our methodologies to the training and tuning of language models, it will be an advantage if the applicant has related experience. 

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment
• Proceed re-design according to implementation plan
• Proceeds electrical, mechanical or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation report
• Makes up product manufacturing standard

Technical Support

• Prepares technical information for parts localize and price negotiation
• Supports production line if necessary according to superior’s direction
• Supports parts faculty/investigation according to superior’s direction

Requirements:

• Bachelor of Electronics / Electrical Engineering/Mechanical Engineer
• Experience in analog or digital electrical hardware design
• Candidate without experience with positive and ‘can do’ attitude is welcome.

5 days work week

Bedok Area

Electronics Manufacturing Ind.

Interested candidates, please forward a detailed resume and email to audris@alignrecruitment.com.sg

Align Recruitment Pte Ltd

License No: 20C0253

Attention: Pan Hong (Reg No. R2094728)

Are you passionate about laboratory operations and scientific processes? Join a dynamic healthcare and life sciences environment where you can contribute to accurate testing, sample processing, and meaningful laboratory activities.

Responsibilities:

• Perform laboratory tests and support pre- and post-analytical processes to ensure accurate and reliable results
• Prepare, label, handle, and process specimens and samples according to established procedures
• Operate and maintain laboratory equipment such as centrifuges, pipettes, pH meters, and other analytical instruments
• Record, document, and manage test results and laboratory data accurately
• Follow laboratory protocols, safety guidelines, and quality standards
• Maintain a clean, organised, and well-stocked laboratory workspace
• Support daily laboratory operations and administrative tasks where required
• Rotate across various laboratory departments, including Microbiology, Hematology, Blood Banking, Immunology, Clinical Chemistry, Molecular Biology, and Cytotechnology

Requirements:

• Minimum Diploma in Clinical Laboratory Technology, Biotechnology, Biomedical Science, or related disciplines
• Strong attention to detail with good numerical and data handling skills
• Good communication and interpersonal skills
• Proficient in Microsoft Office applications
• Able to work independently while following established procedure

Interested candidates are welcome to send your updated resume to healthcaretemps@recruitexpress.com.sg
(Attn: Lab Assistant)

Thank You.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

Position : Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

WhatsApp me your resume for quicker processing! ☺️

WhatsApp: https://wa.me/6584067823 (Shiro)

SHEE YOKE RU|R26161758 | The Supreme Hr Advisory Pte Ltd EA No: 14C7279

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret that only shortlisted candidates will be notified.

Location: Tampines

Working Hours: 4 weekdays + 1 weekend

Inspire Young Minds Through Science Education

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-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

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-%28Digital-Design-Landscape-Design-Decision-Support-Tools-%29/33432-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3.5 years based on the performance and career plan of the hired person.

Responsibilities
•    Assess landscape performance (visual, spatial, and functional)
•    Apply geospatial and image-based analysis methods
•    Develop digital decision-support tools for landscape design
•    Support project coordination and delivery

Qualifications

•    PhD in Landscape Architecture, Computer Science, Data Science, or related field
•    Experience in point cloud analysis or real-time object tracking
•    Proficiency in programming and data-driven design workflows
•    Experience in tool development and visualization preferred
•    Strong problem-solving and project management 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/Research-Fellow-%28Embodied-Robotic-Manipulation%29/33422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The postdoctoral position focuses on advanced research in robotic systems and embodied intelligent technologies, particularly robot multimodal perception, 3D scene understanding, vision-guided manipulation, and autonomous robotic operation in complex environments. Research topics include, but are not limited to, robotic multimodal perception and sensing, object pose estimation/tracking, robotic closed-loop manipulation, intelligent robotic platforms, and integrated perception-planning-control systems. The appointee will be responsible for conducting high-impact research, developing robust robotic perception and manipulation systems, building and validating robotic platforms in real-world scenarios, publishing in top-tier journals and conferences, supporting research proposal preparation, and mentoring junior students.

Qualifications

Candidates should have a Ph.D. in Robotics, Control Science and Engineering, Automation, or related disciplines.

Candidates with prior postdoctoral research experience will be preferred.

Applicants should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided manipulation, autonomous robotic systems, or perception-planning-control integration.

Hands-on ability in robotic platform development, system integration, experimental validation, programming, and real-world deployment is highly desirable.

A strong track record of publications in top-tier journals and conferences, the ability to work independently, experience in research proposal preparation or student mentorship, and good communication skills in English are 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%2C-AI-%28School-of-Computing%29/33416-en_GB/?st=6AA3089AAA04B6DCA01FC3ECA2343BEB943EC99C

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 Computer Science and Information Systems.

We are seeking highly motivated and skilled researchers to drive innovation in trustworthy AI. The ideal candidate should possess expertise in one or more of the following research areas:

•    Model Robustness and Safety: fairness, value alignment, adversarial robustness, model jailbreaking, etc.
•    Cognitive capabilities: reasoning model, mitigating model hallucination, symbolic knowledge machine learning, etc.
•    Multilingual and multicultural foundation models

The successful candidate will work on advanced techniques across various data modalities, including textual, visual, and auditory data.

You will be expected to:
•    Collaborate with a diverse team of computer scientists and domain experts to contribute to an interdisciplinary research programme.
•    Conduct rigorous research and develop innovative solutions to complex problems.
•    Publish and present research findings in academic journals and conferences.
•    Develop and present demos for your research.
•    Assist in the development and testing of algorithms or behavioral models.
•    Participate in regular team meetings and contribute to collaborative efforts.

Key Responsibilities:
•    Investigated the ethical and technical boundaries of AI safety, providing critical insights for new research directions.
•    Develop state-of-the-art methods for improving the trustworthiness of multimodal models.
•    Collaborate with a multidisciplinary team of researchers, data scientists, and engineers.
•    Publish research findings in top-tier conferences and journals.

Qualifications

•    A PhD degree in Computer Science/Computer Engineering.
•    The candidate’s track record in publication and strengths as an independent researcher are valued.
•    Strong experience in machine learning and deep learning.
•    Excellent programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
•    Proficiency in handling multimodal data, including text, images, audio, and video.
•    Good written and verbal communication skills in English
•    Prior publications in major machine learning (NeurIPS/ICML/ICLR), computer vision (CVPR/ICCV/ECCV), or multimedia (ACM Multimedia) conferences is a plus

Preferred Qualifications:
•    Prior experience in interdisciplinary research.
•    Interest in the impact of digital technologies and AI safety on society.

This work contributes directly to strengthening Singapore’s position as a future-ready global aviation hub, enabling more efficient, resilient, and intelligent airport operations through data-driven research and operational innovation.

Job Requirements

• PhD degree in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mechanical Engineering, or a related discipline with rich AI experience.

• Strong programming and data analysis skills, preferably using C/C++, JAVA, or similar.
• Experience in data analysis, cleaning, and visualisation, particularly for real-world sensor data (e.g., surface radar, GPS, and weather data).
• Experience in simulation, optimisation, or decision-support systems applied to transportation or airport operations is highly desirable.
• Experience in process modelling, operational concept development, and workflow analysis for large-scale operational systems.
• Strong background in airport operations, air transport systems, or complex system modelling, with experience in operational analysis and systems-level thinking is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

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.