Total 1,350 job vacancies in Singapore

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).

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 industrialisation 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.

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

You will be part of a dynamic research team working on topics relevant to the Sustainable Built Environment (SBE). The SBE team focuses on building energy modelling and simulation, decarbonization strategies for the built environment and R&D of green building technologies such as HVAC systems, thermal energy storage, data-driven building control systems and other novel solutions for the urban built environment sector. This position is to recruit a member of the research team to work on a project on sustainable hydronic cooling system

Key Responsibilities:

• You will need to actively support SBE projects at ERI@N in terms of project R&D, technology evaluation, project coordination, and stakeholder interfacing.

• The role will include the following:

  • Assist in coordination with project partners, industry and other external stakeholders.

  • Lead technical deployment of testbeds and instrumentation for testing and validation of hydronic cooling/green building solutions e.g. equipment or hardware/software systems.

  • Conduct research, analysis and performance assessment of project testbeds.

  • Lead in preparation and submission of project reports/test reports.

  • Work closely with industry partners to realize synergies in testbeds, site implementation and demonstration.

  • Engage stakeholders at management and working levels internally as well as with external funding agencies, collaborators and industry partners, including delivering presentations and guiding discussions or workshops as necessary.

  • Assist in authoring of technical publications for completed or ongoing research projects.

• You will be an integral part of the SBE team and will need to participate in project discussions especially related to project implementation details.

• Familiarity with district-level cooling systems, green building technology, HVAC systems, sustainable building design, and energy measurement and verification, for built environment applications is preferred.

• Knowledge in test instrumentation, PLC programming and cloud-based/IoT applications is preferred

Job Requirements:

• Masters degree in engineering (e.g. Mechanical, Clean/Renewable Energy or Building related) or sustainable buildings design.

• Experience in sustainable design/analysis for the built environment, Green Mark or LEED projects, M&E construction and development (min 2yrs preferred).

• Proficient in MS Office applications, PLC programming, IoT/cloud development, Modelica/Dymola or energy modelling software.

• Should be a very hands-on person, willing to take on non-routine tasks.

• Possess good communication (written and verbal) skills.

• Able to manage multiple stakeholders and work under tight timelines.

• Positive attitude, ability to work independently as well as in a team

• Prior experience in sustainability standards and green building accreditations would be advantageous.

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

Job Description

As a Research Scientist in Embodied AI for Robotics, you will pioneer advanced research that sits at the intersection of machine learning, simulation, and physical robotic systems. You will lead efforts in developing novel AI-driven robotic capabilities, including multimodal perception, dexterous manipulation, reinforcement learning, motion generation, and simulation-to-real transfer.

You will work closely with engineers and scientists to translate cutting-edge research into production-ready robotic intelligence.

Roles and Responsibilities:

• Pioneer and lead research or translation of research into industrial robotics applications, focusing on AI for robotics.
• Develop novel algorithms and models for manipulation, navigation, and adaptive autonomy in complex manufacturing environments.
• Build and refine high-fidelity simulation environments using tools such as Isaac Sim, Gazebo, or custom simulators.
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Architect and collaborate with engineers to develop proof-of-concept software solutions and demonstrators based on research outcomes using languages like C++ and Python and libraries such as ROS.
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Drive application-oriented robotic research towards industrial automation.
• Publish research findings in top-tier robotics/AI venues and develop technical documentation. 

Job Requirements:

• PhD degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science.
• Min. years of experience: 3-5 years.

Essential Skills & Experience:

• Strong proficiency in C++ and Python.
• Experience with ROS and its ecosystem (ROS/ROS2).
• Expertise in AI/ML model development, including reinforcement learning or imitation learning.
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous. 
• Experience with Isaac Sim, Gazebo, Webots, or equivalent robotics simulators.
• Familiarity with Git, collaborative code workflows, and the software development lifecycle.
• Demonstrated ability to pioneer research or translate research findings into practical software prototypes or applications.
• Understanding of the Software Development Lifecycle (SDLC) and proficiency with Git version control.

Desired Skills & Experience:

• Experience with CI/CD and containerization (e.g., Docker, Kubernetes).
• Experience with software systems integration, architecture, communication protocols, and networked systems.
• Experience managing research projects or leading technical initiatives.
• Experience working with industry partners and presenting technical work.
• Prior experience in using/operating humanoids or working in semicon equipment sector is an added advantage.
• Candidates should be prepared to present their approach to pioneering research or translating research into industrial robotics applications, focusing on AI for robotics, advanced multi-robot coordination, or path planning, or propose an alternative research translation initiative.

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.

Responsibilities

• Investigate and understand large structured and unstructured datasets.

• Identify patterns, trends and correlations to uncover actionable insights 

• Develop predictive and prescriptive models using machine learning, statistical techniques, or artificial intelligence.

• Create algorithms to forecast trends and enhance decision making

• Work cross-functionally with stakeholders to understand their needs and deliver data backed recommendations

Requirements

• Master’s degree or PhD degree in advanced analytical or technical friends like Data Science, Computer Science, Machine Learning or Artificial Intelligence will be preferred.

• Minimum 2 years of experience in applied data analysis, modelling or machine learning. 

• Strong analytical and critical thinking skills

• Ability to explain technical concepts and insights to non-technical stakeholders.

• Work effectively with cross-functional teams.

• Ensure data accuracy and reliability.

Shortlisted candidate will be offered a direct contract employment till Nov 2026.

Licence no: 12C6060

We are seeking a talented and experienced Robotics Engineer to join our team. As a Robotics Engineer, you will be responsible for developing and implementing innovative robotic solutions, specializing in Embodied AI for robotics, with a focus on enabling safe and anticipatory human-robot collaboration (HRC). You will collaborate with cross-functional teams, research new technologies, and ensure optimal performance of robotic systems. A strong understanding of robotics principles, programming skills, and a passion for creating cutting-edge solutions are essential. Experience with robot vision and/or ROS2 (Robot Operating System), and working in semicon equipment sector is an advantage.

Roles & Responsibilities

• Develop and implement Embodied AI algorithms for safe and anticipatory human-robot collaboration.
• Implement safety-aware control and motion planning strategies for close-proximity human-robot interaction.
• Integrate perception, learning, and control modules into robotic systems for real-world testing and validation.
• If applicable, leverage computer vision to improve robot perception and object recognition capabilities.
• Conduct experiments to evaluate system safety, performance, and reliability in collaborative environments.
• 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.
• Maintain detailed documentation of code, algorithms, and project progress, facilitating knowledge sharing within the team.

Job Requirements

• Bachelor degree or higher in Robotics, Computer Science, Electrical Engineering, or a related field.
• Strong foundation in robotics, AI, or control systems.
• Experience or knowledge in one or more of the following areas: 2 years of experience
• Embodied AI and robot learning
• Safety-aware motion planning and control
• Proximity sensing and dynamic obstacle avoidance
• Multimodal perception
• Proficiency in programming languages such as Python, C++, or Matlab
• Experience in software development, including version control and debugging techniques
• Experience in industrial or manufacturing robotics environments.
• Knowledge of deep learning frameworks like TensorFlow and/or PyTorch.
• 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 group you’ll be a part of

The Global Customer Operations Group brings industry insights and experience to help our customers deliver on their technology roadmaps. We work tirelessly to earn the trust of our customers, because we know that working closely together leads to the highest quality outcomes. 

The impact you’ll make

Join Lam as a Customer Service Representative, maintaining direct contact with customers before and after the sale. Collaborating with a wide range of stakeholders from sales teams to field service, you'll foster positive customer relationships, playing an important role in driving revenue growth and meeting service goals. You'll gather accurate accounts of product reliability from customers and provide insightful reports to management. Whether pre-sales or post-sales, your commitment to exceptional customer service makes an impact at Lam.

Who we’re looking for

• Bachelor's degree and a minimum of 2 years of related experience; or an advanced degree without experience; or equivalent work experience.

The Digital Supply Chain Group of the Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.      Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.      Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.      Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.      Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.      Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.      Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.      Evaluate the performance and scalability of developed solutions through testing and optimization.

b.      Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.      Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.      Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

·       Bachelor’s or Master’s degree in Engineering, Computer Science, Operations Research, or related fields.
·       More than 5 years of experience

·       Strong foundation in mathematical modeling, algorithm design, and scientific computing.

·       Expertise in simulations (discrete-event, agent-based) and optimization techniques.

·       Proficiency in programming languages such as Python, C, C++, or MATLAB.

·       Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).

·       Experience in data structures, algorithm development, and software development best practices.

·       Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.

·       Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.

·       Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

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.

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations. 

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum of 0-5+ years of experience (or equivalent demonstrated experience).
• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

Job Description

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders. 

Job Requirements​

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 2 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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.

Job Description

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders. 

Job Requirements​

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

 Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 2 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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.

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.

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• Actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations.

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum of 0-5 years of experience (or equivalent demonstrated experience).

Essential Skills & Experience:

• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

Overview

We are seeking an experienced Project Manager to lead technology deployment projects with industry partners. The role will manage the end-to-end execution of projects focused on developing and implementing advanced manufacturing and repair technologies for aerospace maintenance, repair and overhaul (MRO) operations.

The Project Manager will work closely with industry partners, research engineers, and technology teams to ensure projects deliver industrial impact, operational readiness, and scalable deployment.

Key Responsibilities
Project Leadership & Execution

• Lead end-to-end management of aerospace MRO technology projects from problem definition through development, validation and industrialisation.
• Develop and manage project plans, schedules, milestones, budgets, and deliverables.
• Coordinate multidisciplinary teams of researchers, engineers and industry partners to ensure timely project execution.
• Track project progress and manage risks, issues, and mitigation plans.

Industrialisation 

• Drive deployment of new capabilities, including equipment, processes, and digital solutions.
• Translate industry operational needs into technology development roadmaps and implementation strategies.
• Oversee technology validation, readiness assessments and scale-up for shopfloor deployment.
• Support technology transfer into operational environments.

Industry Collaboration

• Serve as the key interface between research teams and our quality industry partners.
• Co-develop project scope, technical objectives, and success metrics with partners.
• Facilitate regular project reviews and governance meetings with stakeholders.

JOB REQUIREMENTS

• Bachelor or Master degree in any Engineering, or Project management related discipline.
• Minimum 3 years of project management experience in engineering environment
• PMP certifications or equivalent will be advantageous
• Experience working with cross-functional technical teams and external industry stakeholders.
• Experience managing technology development projects from concept to industrial implementation.
• Good business acumen, driven to deliver customer requirements and project deadlines
• Strong problem-solving mindset with ability to navigate technical and operational challenges.

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

 Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 5 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment.

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.

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• Actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations.

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum of 5 years of experience (or equivalent demonstrated experience).

Essential Skills & Experience:

• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

JOB DESCRIPTION

We are seeking an inspection talent to join our team. He will work on the vision and non-destructive inspection system development. The ideal candidates will work on experiment setup design, using camera to collect data and doing AI result verification.

Responsibilities

• Design and develop vision systems for product verification.
• Perform image quality analysis using AI-based segmentation and classification techniques.
• Set up machine vision inspection systems and validate AI inspection results.
• Analyze and optimize inspection system performance by improving data quality and inspection parameters.
• Troubleshoot and debug sensor, camera, or optical-related issues in inspection systems.

Job Requirements

• Familiarity with computer vision and optical system configurations.
• Hands-on experience with OpenCV or other computer vision software libraries.
• At least 1 year of experience
• Knowledge of machine vision and deep learning techniques.
• Basic understanding of statistics and data analysis.
• Programming experience in C/C++ and Python.
• Strong communication and teamwork skills, with the ability to work independently.
• Detail-oriented, proactive, and flexible in handling tasks and challenges.

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.

JOB DESCRIPTION

We are seeking an inspection talent to join our team. He will work on the vision and non-destructive inspection system development. The ideal candidates will work on experiment setup design, using camera to collect data and doing AI result verification.

Responsibilities

• Design and develop vision systems for product verification.
• Perform image quality analysis using AI-based segmentation and classification techniques.
• Set up machine vision inspection systems and validate AI inspection results.
• Analyze and optimize inspection system performance by improving data quality and inspection parameters.
• Troubleshoot and debug sensor, camera, or optical-related issues in inspection systems.

Job Requirements

• Familiarity with computer vision and optical system configurations.
• Hands-on experience with OpenCV or other computer vision software libraries.
• At least 3 years of experience
• Knowledge of machine vision and deep learning techniques.
• Basic understanding of statistics and data analysis.
• Programming experience in C/C++ and Python.
• Strong communication and teamwork skills, with the ability to work independently.
• Detail-oriented, proactive, and flexible in handling tasks and challenges.

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.

Digital Supply Chain Group of the Digital Manufacturing Division at the ARTC is searching for a Senior Development Scientist who will lead and support projects in Supply Chain innovation using advanced data analytics, Generative AI and SOTA AI

Responsibilities:

1.      Deliver tangible outcomes in technical projects: e.g:

-          Develop new, bespoke, accurate, and fast algorithms to solve Supply Chain optimization and prediction problems.

-          Implement state-of-the-art approaches and bring them to industry-readiness status.

2.      Lead technical efforts in data analytics, Generative AI and SOTA AI research by providing effective tech leadership in problem definition and solution design. Key skillsets include Statistical Analysis, Neural Network Frameworks, GANs (Generative Adversarial Networks), Natural Language Processing, Data Generation and Augmentation, Hyperparameter Tuning.  

3.      Continuously develop personal technical skillsets to ensure technical relevance.

4.      Domain knowledge (aerospace, energy, land transport, logistics, etc.) for the specific context of operational research.

5.      Abide by software development processes and procedures to ensure high quality of deliverables.

6.      Assist in securing industry projects and research grants through stakeholder engagements.

Job Requirements:

·       Good interpersonal and communication (verbal & written) skills.

·       Doctoral degree in Computer Engineering, Computer science, Supply Chain Analytics, or Business Analytics.

·       Strong skills in mathematical problem definition, algorithm design, scientific computing, statistic modeling and analytics, and real-world problem solving.

·       Strong scientific programming background (e.g. Pyton, C, C++, etc.) with familiarity with machine learning frameworks (e.g. TensorFlow/Pytorch/Scikit-learn).  

·       Prior experience with supply chain optimisation (e.g., fleet planning, network design, scheduling) is preferrable.
·       More than 5 years of experience

·       A publication track record in Industry 4.0-related topics, e.g., Gen-Ai, optimisation, machine learning/deep learning, etc.

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.

Job Description:

As a Senior Development Engineer, you will be a key senior resource in a team, actively contributing to and leading the development of robotics software solutions for industrial applications (manufacturing/logistics). You will focus on developing multi-system management and orchestration capabilities for multi-robot and multi-device systems, particularly using the Robotics Middleware Framework (RMF). This role involves leading aspects of project execution, proactive contribution to new capability development, and continuous learning.

Roles and Responsibilities:

• actively contribute to and lead specific areas of research and development for robotic software packages and tools for industrial applications using the ROS framework, including capabilities in Robotics Middleware Framework (RMF) multi-agent path planning, simulator design, perception, and motion planning. Drive application-oriented robotic research towards industrial automation using ROS 2.
• Contribute significantly to the architecture and lead the development of complex software solutions and core algorithms for interoperable multi-agent and multi-robot systems, focusing on coordination, scheduling optimisation, task assignment, and traffic deconfliction.
• Contribute to and lead the implementation of robust systems engineering approaches by translating business requirements into system requirements and validation methodologies, and develop comprehensive software testing and validation strategies in accordance with industry standards.
• Lead specific aspects of project scoping, planning, and execution for technical projects, and actively contribute to overall project delivery, including overseeing technical documentation, write-ups, and presentations. 

Job Requirements:

• Degree in Robotics Engineering, Software Engineering, Computer Engineering, Electrical Engineering or Computer Science or equivalent.
• Minimum 5 years of experience (or equivalent demonstrated experience).
• Mastery in C++ and Python programming.
• Extensive experience and expertise in software development principles and practices.
• Extensive experience with CI/CD pipelines and containerization (e.g., Docker, Kubernetes).
• Extensive experience with ROS2 and its ecosystem.
• Mastery with Git version control.
• Deep knowledge of robotics concepts including manipulation, navigation, fleet management, and/or simulation.
• Extensive experience with complex software systems integration, including architecture and communication protocols.
• Extensive experience with networked systems design and implementation.
• Experience deploying multiple software or robotics systems to production environments.
• Demonstrated ability to lead technical initiatives or projects within a team context.

Desired Skills & Experience:

• Experience applying or researching mobile robot, fleet management and AI technologies in robotics.
• Proven experience managing stakeholders from requirements gathering to deployment.
• Web development experience (e.g., using common frameworks).
• Experience with specific robotics algorithms (e.g., scheduling optimisation, task assignment, traffic deconfliction).
• Experience developing software solutions using ROS libraries.

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.

ARTC is looking for a Development Engineer to join Autonomous Systems & Robotics (ASR) group to accelerate the development of novel, intelligent, and/or reconfigurable robotic systems that can be adopted by industry.

ABOUT THE ROLE

As a Development Engineer, you will contribute towards developing systems and solutions as part of a larger team, and lead small projects, to meet the needs of different companies across the manufacturing and logistics ecosystem in Singapore. You will work with both senior and junior engineers and scientists at A*STAR on different R&D projects for developing robotics and automation systems.
If you are passionate about applied research and/or the development of AI-driven robotics and automation systems and applying the best-in-class physical AI and/or optimization algorithms to solve practical industry problems, this is the role for you.

JOB DESCRIPTION

• Discuss with stakeholders to get clear understanding of their problem statements, requirements, expectations
• Study new technologies and tools available in the market, evaluate and compare pros and cons, make recommendations; contribute to generative AI-driven robotic and automation system development projects
• Validate new concepts for systems or methods, by using virtual models, simulations and physical prototypes
• Design and develop physical / software modules, programs, and other system components
• Testing and validating the systems / solutions developed by other project team members
• Support seniors to develop detailed technical proposals addressing complex industry challenges, including automation, robotics.
• Contribute to robotics and automation system / software development projects for both competitive grant-funded research as well as for direct industrial problem statements
• Support senior staff in engaging with System Integrators (SI) and vendors to develop and deploy AI-based automation systems in the final operational environment (such as a factory shopfloor or warehouse facility) to meet end-user needs
• Write and maintain technical documentation of the work done in projects, and make presentations

JOB REQUIREMENT

• Bachelor’s Degree in Engineering disciplines (Mechanical, Electrical, Electronics, Computer Engineering)
• 0-2 years of experience in developing AI/ML-based robotics and automation systems / software solutions 
• Fresh graduates with strong hands-on skills and knowledge of Robotics,automation, 3D modeling, AI/ML for physical systems etc. are also welcome
• Experience in software programming (e.g., Python, C / C++ )
• Good experience in developing robot manipulation programs (e.g., ABB RAPID, URScript, KRL) for practical use-cases will be a strong plus
• Experience in 3D Simulation tools (e.g., Visual components, Isaac Sim, Gazebo), or willing to learn simulation tools 
• Hands-on experience with industrial robot arms, cobots for automation systems / solutions development projects.
• Experience or exposure to robotic picking and placement/packing applications
• Able to work hands-on with limited supervision for projects to develop robotics / automation systems 
• Strong problem solving and analysis skills
• Practical knowledge in applying Generative AI, Reinforcement Learning etc. in both simulation and real-life implementations will be a strong plus
• Experience in mechanical design (CAD), systems-level modelling and simulation will be a plus (e.g., Simulink)
• Knowledge of Robot Operating System (ROS / ROS 2), UI/UX development etc. will be a plus

We value the following Soft skills as well:

• Strong communication and interpersonal skills, to interact with different stakeholders at a technical or functional level (with colleagues, management, customers)
• Self-motivated individual with a strong sense of ownership of the assigned tasks
• Team player with good time management skills
• Flexibility & willingness to learn and master new / unfamiliar tools and technologies, work on new tasks, and adapt to changes

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.

Job Description:

As an Embodied AI Engineer, you will develop next‑generation robotic intelligence that tightly integrates AI‑driven perception, planning, and behaviour with real‑world robot embodiment. You will contribute to both research-driven and deployment-driven development across ROS 2, advanced simulation environments, and industrial robotic platforms.You will support applied R&D to develop, implement, and test robot learning algorithms that integrate motion planning, force/torque sensing, and multimodal perception. The role includes hands-on work in designing experiments, analysing results, building prototypes, and contributing to practical robotics solutions for advanced manufacturing. You will collaborate with multidisciplinary teams (researchers, engineers, and industry partners) to bridge research with impactful industrial deployments in areas such as remanufacturing, automation, and smart manufacturing.

Roles & Responsibilities​:

• Support applied R&D in robotic manipulation, focusing on robotics technologies for advanced manufacturing.​
• Assist in designing and conducting experiments to collect, process, and analyse experiment data.​
• Apply machine learning and deep learning techniques to improve robot control, adaptability, and decision-making in real-world scenarios.​
• Contribute to developing and testing functional prototypes and ROS-based robotics solutions for manufacturing applications.​
• Participate in the development and enhancement of ROS-Industrial capabilities for manipulation and embodied intelligence.​
• Support integration of perception tools (e.g., vision, force/torque) to enable better object handling and environmental interaction.​
• Stay updated with emerging robotics and AI methodologies, and assist in implementing state-of-the-art approaches to boost performance.​
• Work closely with cross-functional teams, including hardware/software engineers and researchers, to meet project milestones.​
• Support technical discussions, documentation, and engagement with industry stakeholders.

Job Requirements​:

• Bachelor or Master degree (fresh/recent graduates welcome) in Robotics, Computer Science,Mechanical/Electrical Engineering, Artificial Intelligence, or a related field.​
• At least 2 years of experience
• Strong foundational knowledge in robotics fundamentals, including kinematics, dynamics, motion planning, and control.​
• Interest or exposure to robot learning, Learning from Demonstration, imitation learning, reinforcement learning, or Embodied AI concepts.​
• Proficiency in programming, especially Python and/or C++ ​
• Hands-on experience or strong interest in ROS/ROS2, simulation tools (e.g., Gazebo, Isaac Sim), and robotic hardware platforms.​
• Basic familiarity with deep learning frameworks such as PyTorch or TensorFlow is advantageous.​
• Understanding of sensors (vision, force/torque) and perception techniques is a plus.​
• Experience or interest in industrial automation, manufacturing environments, or contact-rich manipulation is highly desirable.​
• Good communication skills for teamwork, documentation, and presenting ideas/findings.​
• Passion for robotics, strong problem-solving mindset, and eagerness to learn and tackle real-world technical challenges in a collaborative, innovative environment

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 Digital Supply Chain Group of the  Digital Manufacturing Division at ARTC is searching for a Senior Research Engineer to lead and support engineering projects focused on operations research using advanced analytics, simulations, and optimization.

Responsibilities:

1.      Innovate and Develop New Solutions:

a.   Design and prototype novel algorithms, tools, and systems to solve complex operational and industrial challenges.

b.   Conduct research and feasibility studies to create innovative, scalable, and efficient engineering solutions that meet industry needs.

2.      Lead the Development Process:

a.   Lead end-to-end development of research concepts into functional engineering prototypes, ensuring they are industry-ready.

b.   Collaborate with cross-functional teams to transition research results into tangible, deployable products or solutions.

3.      Apply Advanced Research in Engineering:

a.   Leverage cutting-edge technologies such as simulations (discrete-event & agent-based), network analysis, and optimization techniques to develop solutions.

b.   Implement machine learning and AI technologies into operational processes to enhance decision-making capabilities.

4.      Conduct Performance Testing and Optimization:

a.   Evaluate the performance and scalability of developed solutions through testing and optimization.

b.   Continuously improve prototypes by analyzing performance data and making necessary adjustments.

5.      Collaborate with Industry Partners:

a.   Work closely with industry partners to ensure that developed solutions align with real-world applications and requirements.

b.   Engage with stakeholders to gather feedback and refine research prototypes for successful industry adoption.

Job Requirements:

• Bachelor or Master degree in engineering, Computer Science, Operations Research, or related fields.
• More than 5 years of experience
• Strong foundation in mathematical modelling, algorithm design, and scientific computing.
• Expertise in simulations (discrete-event, agent-based) and optimization techniques.
• Proficiency in programming languages such as Python, C, C++, or MATLAB.
• Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and optimization libraries (e.g., Gurobi, CPLEX).
• Experience in data structures, algorithm development, and software development best practices.
• Prior experience in operational optimization, such as fleet management, scheduling, or network design, is highly preferred.
• Experience applying research in practical settings such as aerospace, logistics, energy, manufacturing, or supply chain management.
• Familiarity with Industry 4.0 technologies such as advanced robotics, automation, or smart manufacturing.

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.

We are looking for a research engineer to support our ongoing initiatives in AI, embodied AI (EAI), robotics, and humanoid systems, with a strong focus on translating research into deployable industrial solutions.

Key Responsibilities

• Support development and testing of AI/EAI algorithms on robotic and humanoid platforms.
• Work with senior researchers and engineers to translate research outputs into practical solutions.
• Support integration and evaluation of algorithms on humanoid or robotic systems.
• Collaborate across teams (engineering, product, platforms) to accelerate prototype-to-deployment cycles.
• Contribute to documentation, prototypes, and demonstration setups.

Requirements

• Bachelor’s or Master’s degree in AI, Robotics, Computer Science, Electrical Engineering, or related fields.
• At least 2 years of experience
• Basic experience in AI/robotics; interest or exposure to embodied intelligence or humanoids preferred.
• Proficiency in programming languages such as Python, C++, or Matlab highly desirable.
• Hands-on experience operating or programming humanoid robots is an added advantage.
• Strong problem‑solving skills and willingness to learn in a fast-paced R&D environment

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.