Total 377 Science / R&D / Research job vacancies in Tuas

Job Description 

We are seeking a talented and experienced robotics scientist to join our team in advancing Embodied AI for robotics, with a strong focus on Learning from Demonstration for contact-rich manipulation and intelligent skill acquisition. The successful candidate will conduct applied R&D to develop, implement, and validate robot learning algorithms integrating motion, force/torque, and multimodal perception for real-world industrial applications. This role involves designing experimental setups, collecting and analysing demonstration data, translating research outcomes into functional prototypes, and contributing to the strategic development of Embodied AI and humanoid robotics capabilities, while working closely with multidisciplinary teams and stakeholders to drive innovation, technical excellence, and impactful deployment in advanced manufacturing environments.

Roles & Responsibilities

• Conduct applied R&D in Embodied AI for robotics, focusing on Learning from Demonstration (LfD) for contact-rich manipulation and skill acquisition.
• Design and execute experiments to collect, process, and analyse demonstration data for training intelligent robotic behaviours.
• Apply machine learning techniques, including deep-learning methods, to enhance robot control and decision-making processes, making our robots more adaptable and intelligent.
• Translate research outcomes into functional prototypes and deployable robotics solutions for industrial applications.
• Contribute to the strategic development of Embodied AI and humanoid robotics capabilities
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Continuously research and implement state-of-the-art algorithms and methodologies to improve robot performance and efficiency.
• Collaborate with cross-functional teams, including hardware engineers, software developers, and researchers, to achieve project goals.
• Support stakeholder engagement and technical discussions with industry partners, providing expert input on system capabilities and limitations.

Job Requirements

• PhD in Robotics, Computer Science, Electrical Engineering, or a related field.
• At least 5 years of experience
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• Proficiency in programming languages such as Python, C++
• Hands-on experience with ROS2, simulation environments (e.g. Isaac Sim), and robotic hardware platforms.
• Familiarity with industrial automation or manufacturing environments is an advantage.
• Strong communication skills to collaborate effectively with colleagues and present technical findings.
• A passion for robotics and a desire to stay updated with the latest developments in the field.
• Strong commitment to solving technical challenges in the field of robotics, approaching obstacles with a positive and determined mindset.

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 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.

We are looking for a Research Associate in Aerial Robotics to support a cutting-edge project focused on designing, developing, and controlling an avian-inspired robot capable of precise and agile flight in urban environments. The role will focus on merging advanced computational modeling, AI-driven control algorithms, and innovative mechanical design to replicate the remarkable flight capabilities observed in nature. The successful candidate will be part of a dynamic, multidisciplinary team of experts in aerodynamics, robotics, and machine intelligence, working collaboratively to push the boundaries of small unmanned aerial system performance. This high-impact research aims to transform how drones navigate cluttered spaces, setting the stage for next-generation aerial platforms with wide-ranging applications in areas such as surveillance, inspection, and environmental monitoring.

Key Responsibilities:

• Support research and development related to Robot Design and Autonomous Control of an Avian-Inspired Robot

• Design and fabricate robust platform prototypes

• Develop models and algorithms (AI-based) for dynamics and control of flight.

• Support PI/Team Lead with project management activities and preparation of progress reports

Job Requirements:

• Education qualifications: MSc or MEng in Robotics, Mechanical, Aerospace, Electrical Engineering, or related fields. Specialization in aerial robotics, bio-inspired robotics, materials, or AI-driven control is preferred.

• Soft skills: Strong communication, teamwork, adaptability, and problem-solving abilities.

• Hard skills: Background in flight dynamics, control, robotics, AI/ML, embedded systems, and system modelling. Proficiency in Python, C++, and MATLAB/Simulink. Research publication record is preferred.

• Experience: R&D experience in designing, fabricating, testing, and refining aerial, autonomous, or bio-inspired robotic platforms.

• Competencies: Proficiency in CAD, rapid prototyping, autopilot flight control, ROS/ROS2, sensor integration, and experimental validation.

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

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) as well as long-term research agenda development and implementation

Job Requirements:

• Education qualifications: Master Degree in Mechanical Engineering or fitting domain with good results.

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming

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

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

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

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Research Cluster 4: Novel engineering solutions for climate impacts, will explore engineering solutions to adapt to sea-level rise and climate-constrained water resources. The CTP research programme is summarised here: https://earthobservatory.sg/research/climate/climate-transformation-programme>.

The Research Fellow will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively for advancing the engineering solutions to mitigate the climate change impact which focus on new design concepts for seawalls and coastal defence systems. The position is expected to perform independent and collaborative research to meet the project objectives, to develop new solutions, to assist the management work of the project’s daily operation to facilitate the success of the project, and to publish high-quality journal papers to promote the international reputation of the university,

Key Responsibilities:

The Research Fellow will be responsible for:

• Conduct in-depth research on flexible seawall design and construction, considering durability, environmental impact, and cost-effectiveness.

• Conduct laboratory experiments to test the performance of flexible seawall in flume test.

• Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization

• Writing and publication of results in high-quality peer-reviewed journals

• Writing project progress reports

• Assist in the daily project operation management.

Job Requirements:

• PhD degree in civil engineering, coastal engineering, ocean engineering or related field

• At least 1 year of relevant experience in coastal structure foundation design and hydrodynamics analysis

• Strong background in hydrodynamics analysis

• Expertise in laboratory coastal structure testing

• Expertise in FEM software (Ansys, Abaqus, Plaxis, Comsol etc.)

• Good written and oral communication skills

• Proficiency in oral and written English - essential for data analysis and communication with stakeholders

• Publication track record is an advantage

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

Job Description

• Ensure compliance with ISO procedures and local statutory requirements.

• Prepare purchase orders and liaise closely with suppliers to ensure timely delivery.

• Conduct cost comparisons to meet operational requirements while ensuring quality, service, and cost-effectiveness in the company's best interests.

• Assist in sourcing competitive quotations from suppliers.

• Assist in preparing monthly reports for management.

• Perform other ad hoc duties as assigned.

Job Requirements

• Diploma or Degree in Business Administration preferred, with at least 3 years of relevant working experience in a similar capacity, preferably in the manufacturing industry.

• Excellent communication and negotiation skills, with the ability to work effectively with suppliers and internal stakeholders and resolve issues efficiently.

• Strong analytical skills, with the ability to justify purchasing decisions using data and figures.

• Proficient in Microsoft Office applications.

• Good interpersonal and coordination skills.

• A team player with the ability to work independently and possess strong organizational skills.

Young and research-intensive, Nanyang Technological University (NTU Singapore) is ranked among the world’s top universities. NTU’s Wee Kim Wee School of Communication and Information (WKWSCI) is highly respected for its strong record of academic research and global experiential learning. WKWSCI is an iSchools member with an established history of library and information science education and research. WKWSCI seeks new faculty colleagues with a strong record of high-quality research and a commitment to mentoring the next generation of communication and information scholars.

Assistant Professor (Tenure Track) in Information Science or Knowledge Management

The candidate would have experience in one or more of the following primary areas: Library science and technology; Data, text and social media analytics; Human-computer and AI interaction; Informetrics; Digital curation and preservation; Information organisation and management; and Human information behaviour. Having a secondary area of technical expertise in programming for analytics or artificial intelligence applications would be a plus, although not mandatory. The candidate is expected to possess a doctorate in an appropriate field from a reputable university.

NTU is investing in digital humanities, arts and social sciences. The selected candidate would contribute to this cross-disciplinary initiative.

Application Procedure

Please click here (to insert Workday job posting link) to submit the following documents to us:

• Cover letter
• Curriculum Vitae including a full publication list
• Research and Teaching statements
• Effectiveness of teaching (if any)
• Selected publications (if any)

The closing date for applications is 30 November 2025. All applications and materials submitted will be held in strict confidence.

For enquiries, please address to:

The Search Committee

Email: faculty-recruit@ntu.edu.sg

Review of the applications will begin on 1 December 2025 and continue until the position is filled. The candidate is expected to start in July 2026. Only shortlisted candidates will be notified.

The College of Science seeks a diverse and inclusive workforce and is committed
to equality of opportunity. We welcome applications from all and recruit on the
basis of merit, regardless of age, race, gender, religion, marital status and family
responsibilities, or disability.

The Division of Mathematical Sciences (MAS) at SPMS, NTU invites applications
for positions at the rank of Visiting Professor in Mathematics. We are looking for
candidates holding a Ph.D. degree in mathematics or a closely related area.

The Visiting Professor collaborate with MAS colleagues to work in the area of
financial mathematics, stochastic finance, and applied probability, as well as
explore collaborations with colleagues from other Schools within NTU.

The candidate should have at least 10 years of experience in one or more of the
following areas: financial mathematics, Stochastic Finance, applied probability.

Enquiries about the position can be addressed to Professor Juan Pablo Ortega, at
juan-pablo.ortega@ntu.edu.sg.

Applications will be accepted until the positions are filled. All applications and
materials submitted will be held in strict confidence. Only shortlisted candidates
will be notified.

Please click here to apply.

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialization and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

The Research Fellow will work in a project context whose ultimate objective is to develop technologies for validating AV behaviour at a system level.

Key Responsibilities:

• Manage the technical aspects of the project and ensure that the deliverables are delivered on time.

• Manage stakeholder’s expectations.

• Validate project goals against existing technical standards and identify gaps and propose research activities required to fill these gaps.

• Perform analysis, lab and field testing on sensors and sensor systems.

• Organize meetings and intermediate technical progress reviews.

• Make presentations to partners.

Job Requirements:

• Holder of an engineering PhD, preferably in the field of science, engineering, complex systems or control with a good understanding of sensors and sensor systems.

• Strong analysis skills and a good understanding of sensors and vehicle systems and driving behaviours of these systems.

• Knowledge of the stakes and system safety challenges associated with the validation of autonomous vehicles is preferred.

• Skills in using simulation for system design validation.

• Good communication skills, both verbal and written.

• With analytical skills, strong autonomy and team spirit, the research fellow will have to demonstrate a keen sense of organization and perform the tasks assigned to him/her rigorously.

• Ability to work as a Research Fellow, reporting on progress and communicating results.

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

CARTIN is a NRF medium sized center on advanced robotics. CARTIN aims to develop advanced robotics technology for applications in logistics, manufacturing and robots for humans.

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

We are looking for a Research Fellow to Develop Localization and Perception System based on Multi-sensor Fusion. The role will focus on developing localization and navigation algorithms for robot in complex environments.

Key Responsibilities:

• Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms of robot in complex dynamic environments.

• Robot platform and sensor system hardware and software integration.

• Algorithms and systems verification and validation.

• Report writing and presentations.

Job Requirements:

• Possess PhD degree in electrical engineering or related fields

• Extensive experience in robotics and sensor fusion

• Experience in system integration and flight control

• Excellent communication and writing skills

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

Job Title: QA & R&D Executive

Job Summary

We are seeking a QA & R&D Executive to support the R&DSupervisor in managing food safety systems, product documentation, regulatorycompliance, and production trials. Training and guidance will be provided,hence fresh graduates are welcome.

Key Responsibilities

1. Quality Assurance & Food Safety System

• Maintain and update ISO 22000 documentation and procedures.
• Support HACCP plan implementation and review.
• Prepare documents for internal and external audits.
• Monitor corrective and preventive actions (CAPA).
• Ensure compliance with food safety and regulatory requirements.

2. Product Specification & Documentation

• Prepare and update product specifications.
• Generate and verify Certificates of Analysis (COA).
• Liaise with suppliers for raw material specifications and documentation.
• Maintain proper documentation control system.

3. Recipe & Regulatory Management

• Assist in recipe formulation amendments.
• Review ingredient lists, allergen declarations, and labelling compliance.
• Ensure formulations meet regulatory and customer requirements.

4. R&D & Production Trial Support

• Assist in planning and executing production trials.
• Record and analyse trial data.
• Monitor product flow during scale-up to mass production.
• Coordinate with Production and Purchasing teams during new product launches.

Requirements

• Diploma/Degree in Food Science, Food Technology, or related field;
• 1 year of experience in food industry (bakery industry). Fresh grads are welcome;
• Familiar with product specifications and COA handling.
• Detail-oriented with good documentation and coordination skills.

Employment Details

• Location:                      23 Tuas Bay Walk, Singapore 637764
• Employment Type:   Full-Time, Permanent
• Work Schedule:        5-day Work  Week
• Position Level:           Junior Executive
• Monthly Salary:         $2,800 – $3,300 (Commensurate with experience)
• Transport:                    Company transport provided to and from Joo Koon MRT

This is a call for hiring researchers to conduct high quality research in the area of quantum thermodynamics, in particular questions of bridging different theoretical frameworks, finding applications in many-body physics, or generalizations of the resource-theoretic approach to account for practical aspects of quantum thermodynamics.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirement:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the extension of resource-theoretic quantum thermodynamics to account for practical considerations

  Exploring the applications of theoretical quantum thermodynamics to study many-body systems

  Establishing the precise role of catalysis in quantum thermodynamics

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Research Fellow will contribute to the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, is a leading school for Sustainable Built Environment. The school plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond. The school’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

The Senior Research Fellow will contribute to leading the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Lead and drive the overall project execution, including research direction setting, task coordination, and milestone delivery to ensure timely and high-quality outcomes.

• Provide leadership and supervision to the research team, mentoring junior researchers and coordinating collaborations with internal and external stakeholders.

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• At least four years of post-doctoral research experience

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

• Proficiency in English - essential for data analysis and communication with stakeholders

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

This is a call for hiring researchers to conduct high quality research in the area of quantum resource theories, in particular areas of interest such as (but not limited to) catalytic resource theories, bridging different existing theoretical thermodynamics frameworks, or studying the effects of finite-size effects on thermodynamic processes. This is in line with the mission of the university to work on cutting-edge research topics that are of both fundamental and practical importance.

Responsibilities:

The candidate is expected to, but not limited to, engage in the following research directions:

• Utilize techniques and tools in quantum information theory in the study of quantum thermodynamics

• Conduct high quality research in understanding the fundamental limits of controlling out-of-equilibrium quantum systems

Requirements:

• PhD in the area of quantum information and quantum thermodynamics.

• Consistent research track record in terms of publication for the following areas of study:

  Studying the role of robust quantum catalytic processes

  Studying the hybridization of quantum resource theories

  Exploring the applications of theoretical quantum thermodynamics in many-body systems

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

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Job Responsibilities:

• Literature review of existing methods and models

• Identify the weaknesses of existing models

• Propose and develop state-of-the-art methods to overcome existing problems.

• Train and evaluate the models and systemically compare them with recent models.

• Prepare papers and reports.

• Develop systems based on the developed models for agencies/commercial partners

• Supervise junior researchers and master students

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge of deep learning, specifically, foundation models, diffusion models is a must.
  1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models.

2)For video processing: In depth knowledge of open object detection, video summarization, key-frame extraction.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

• A strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, and TMM

• Preferably publications related image/video watermarking or video processing

• Strong software implementation skills.

• Preferably 4 years+ research experience, including PhD study.