Research Fellow

2 weeks ago


Singapore NTU (Nanyang Technology University- MainOffice-HR) Full time
About Us

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic, and multi-disciplinary international research community comprising world-class scientists and bright students.

Our Research Capabilities

We excel in our research capabilities across various areas, including:

  • Advanced Manufacturing
  • Aerospace
  • Biomedical
  • Energy
  • Industrial Engineering
  • Maritime Engineering
  • Robotics
State-of-the-Art Infrastructure

MAE is equipped with cutting-edge research infrastructure, housing cluster laboratories, test bedding facilities, research centres/institutes, and corporate laboratories.

Addressing Industry Needs

Our research addresses the immediate needs of our industries and supports the nation's long-term development strategies.

New Era of Industrial 4.0 and Sustainable Living

In this new era, MAE is committed to developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape.

Leadership in Engineering Research

MAE has grown to be a leader in Engineering Research, ranking amongst the top engineering schools in the world.

Job Description About the Role

We are seeking a highly motivated and skilled Research Fellow to join the Robotics Research Centre (RRC) at NTU.

Key Responsibilities
  • Develop human-in-the-loop robotic simulator to provide in-silico trials for assistive robots.
  • Build virtual human models based on ability data and machine learning.
  • Optimize robot parameters to cater for the personalised assistance for ADL tasks.
  • Drive translational research in collaboration with clinical and industrial partners.
  • Provide mentorship to research students and junior researchers.
Requirements Education and Experience
  • PhD degree in Computer Science, Robotics, Biomechanics or related engineering discipline.
  • Strong experiences in one or more fields of data-driven robotics, reinforcement learning, embodied AI, virtual human modeling, and simulation.
  • Proficient in C/C++, Python, and physics simulation engine (e.g. MuJoCo).
  • Good analytic and communication skills, fast learner, ability to multi-task efficiently.

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