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Nanyang Technological University

Research Assistant (Control and Robotics)

Posted 7 Hours Ago
Be an Early Applicant
In-Office
Singapore, SGP
Entry level
In-Office
Singapore, SGP
Entry level
The role involves conducting research in control theory and machine learning, experimenting with robotic platforms, collaborating internationally, and publishing research findings.
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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for research assistants to conduct research in the areas of safety-critical control theory and machine learning. The role will focus on combining new theory or method in nonlinear system control and state-of-the-art machine learning systems, with applications to various robotic systems.

Key Responsibilities:

  • Conduct research in the area of control theory and machine learning

  • Conduct experiments on different robotic platforms

  • International collaborations in the above areas

  • Publish papers in related top journals and conferences

Job Requirements:

  • Bachelor’s degree in control theory, machine learning, robotics, or related field

  • Familiarity with nonlinear systems and control theory/state-of-the-art machine learning systems (diffusion, transformers, etc.)/robotics.

  • Good written and oral communication skills

  • Proficiency in programing (e.g., Python) and machine learning tools (e.g., PyTorch)

  • Entry level candidates are welcome to apply

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

Hiring Institution: NTU

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