Research Fellow (Robotics/Automation)

Schaeffler Hub for Advanced Research at NTU is a collaborative research center between Nanyang Technological University and Schaeffler Group. The Schaeffler SHARE program comprises a global research network with leading universities globally. The on-campus concept provides a structured approach focused on applied research in strategically important topics aligned with Schaeffler’s strategic roadmap for a fast and thorough transfer of research output into the industry. SHARE at NTU aims to expand the current state of technology and build on Robotics & Industry 4.0 as aligned with Schaeffler’s strategic roadmap.SHARE at NTU also serves as a platform in identifying and developing new talents via various collaboration initiatives with the University. For more details, please view https://www.schaeffler.sg/en/company/share-at-ntu/.

Key Job Purpose

We are looking for a Research Fellow to carry out applied research with transferable outcomes in haptic dual arm manipulation research as per SHARE at NTU project deliverables. The role will focus on Haptic SLAM for dual arm manipulation and planning contact rich manipulation tasks with dual arm robots.

Key Responsibilities:

• Assist PI in defining research goals, formulating contact-rich robot manipulation as a planning problem using haptic-based algorithms

• Coordinate with the extended research team in hands-on experiments for contact-rich manipulation tasks using impedance control

• Contribute to data analysis of force/torque and kinematic data

• Integrate key research findings in novel robot impedance control frameworks

• Publish research outcome in peer-reviewed journals/conferences

• Coordinate with research scholars and other students to meet project deliverables

Job Requirements:

• PhD in robotics, automation or related fields

• Good written and oral communication skills

• Ability to work independently and excellent time management skills

• Prior robotic research experience, demonstrated through high quality publications/pre-prints

• Well versed in robot kinematics, dynamics, robot modelling and control engineering

• Experience in mobile manipulators and industrial robots

• Programming languages/libraries: MATLAB, C++, Python, OpenCV

• Competent in mechanical design

• Entry level candidates are welcome to apply

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