Total 123 job vacancies by A*star Research Entities

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.

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.

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 and image processing techniques 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.
• Strong background in robot learning, Embodied AI, Learning from Demonstration, or related AI-driven robotics techniques.
• At least 2 years of experience
• 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.