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NANYANG TECHNOLOGICAL UNIVERSITY

Research Assistant (Control and robotics)

Professional Contract 0 年以上经验

月薪

$3,300 – $6,600

发布时间

2026年3月26日

截止 2026年4月9日

技能

Machine LearningCandidate ScreeningDesign of Experimentscontrol system theoryControl Theoryconference papersMachine ToolsPyTorchPythonControl SystemsTransformerRoboticsDiffusionInternational Joint VenturesProgrammingOral & Written Communication Skills

职位描述

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.