Research Fellow (Data-enabled Predictive Control)

Nanyang Technological University; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Nanyang Technological University’s School of Mechanical & Aerospace Engineering in Singapore invites a Research Fellow to advance data-enabled predictive control on autonomous robots, focusing on safety guarantees and rigorous validation through experiments, simulations, and theory.

Ideal candidates hold a PhD in robotics or related field, with strengths in control theory, optimization, and machine learning, and are proficient in Python and C/C++.

Qualifications

• PhD in Robotics, Mechanical Eng., Electrical Eng., CS, Applied Maths, Physics, or related field.
• Strong background in control theory, optimisation-based algorithms and/or machine learning.
• Excellent verbal and written communication skills.

Responsibilities

• Lead experiments, simulations, or theoretical work aligned with project goals.
• Co-author peer‑reviewed journal articles, conference papers, or technical reports.
• Plan timelines, manage resources, and report progress to the PI.
• Build your research profile and prepare for the next career stage.

Skills

Control theory

Optimization algorithms

Machine learning

Communication skills

Research mindset

Education

PhD in Robotics or related field

Tools

Python

C/C++

Job description

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the‑art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long‑term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research.

We are looking for a Research fellow to work on the development of data-enabled predictive controller on autonomous robots. The role will focus on safety guarantees for data-enabled predictive controllers.

Key Responsibilities

• Lead and contribute to experiments, simulations, or theoretical work aligned with the project’s goals.
• Lead and co-author peer-reviewed journal articles, conference papers, or technical reports.
• Plan timelines, manage resources, and report progress to the Principal Investigator.
• Build your own research profile and prepare for the next career stage.

Job Requirements

• A PhD degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or any related field
• Strong background in control theory, optimisation-based algorithms and/or machine learning
• Excellent verbal and written communication skills
• Proficiency in programming languages in Python and/or C/C++.
• A curious and ambitious mindset for research
• A strong work ethic, effective time management skills, and a capability to work independently and collaboratively

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

Hiring Institution

NTU A research-intensive public university, Nanyang Technological University, Singapore (NTU Singapore) has 33,000 undergraduate and postgraduate students in the Engineering, Business, Science, Humanities, Arts, & Social Sciences, and Graduate colleges. It also has a medical school, the Lee Kong Chian School of Medicine, established jointly with Imperial College London. NTU is also home to world-class autonomous institutes – the National Institute of Education, S Rajaratnam School of International Studies, Earth Observatory of Singapore, and Singapore Centre for Environmental Life Sciences Engineering – and various leading research centres such as the Nanyang Environment & Water Research Institute (NEWRI) and Energy Research Institute @ NTU (ERI@N). Ranked amongst the world’s top universities by QS, NTU has also been named the world’s top young university for the past seven years. The University’s main campus is frequently listed among the Top 15 most beautiful university campuses in the world and has 57 Green Mark-certified (equivalent to LEED-certified) buildings, of which 95% are certified Green Mark Platinum. Apart from its main campus, NTU also has a campus in Novena, Singapore’s healthcare district. Under the NTU Smart Campus vision, the University harnesses the power of digital technology and tech-enabled solutions to support better learning and living experiences, the discovery of new knowledge, and the sustainability of resources.

For more information, visit www.ntu.edu.sg

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