Research Engineer (Robotics Engineer - Learning-Based Manipulation) - LYB4

Singapore Institute of Technology (SIT) is seeking a motivated Research Engineer to join its Robotics research team, focusing on learning‑based manipulation. This position offers the opportunity to contribute to cutting‑edge projects that advance intelligent robotic behaviors in real‑world applications, working alongside a multidisciplinary team of scientists and engineers.

About the Role

The role combines research, development, and experimentation with machine‑learning techniques to enable robots to perform complex manipulation tasks. You will collaborate closely with senior researchers, integrate novel algorithms into prototype platforms, and evaluate performance on physical systems. The position is part of the Recognised Researcher (R2) and First Stage Researcher (R1) framework, supporting career progression within SIT’s research ecosystem.

Key Responsibilities

• Design and implement learning‑based manipulation algorithms for robotic systems.
• Develop and maintain software pipelines for simulation, training, and real‑time execution.
• Conduct experiments on physical robots to validate algorithmic performance and robustness.
• Analyze and interpret experimental data to guide iterative model improvement.
• Publish research findings and contribute to interdisciplinary collaborations within SIT.

Requirements

• Strong foundation in computer science, electrical engineering, or a related discipline.
• Proficiency in programming languages such as Python, C++, or MATLAB.
• Experience with machine‑learning frameworks, including deep learning libraries.
• Hands‑on experience with robotics hardware platforms and control systems.
• Ability to work independently and as part of a collaborative research team.

What We Offer

Joining SIT means engaging in a vibrant research community that values intellectual curiosity and continuous learning. You will have access to state‑of‑the‑art laboratory facilities, mentorship from leading experts, and opportunities to contribute to high‑impact research that shapes the future of robotics. The environment encourages interdisciplinary interaction and supports professional growth through participation in conferences, workshops, and joint projects.