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NT
Ntu

Research Fellow (Data-enabled Predictive Control)

LocationNTU Main Campus, Singapore
Work modeon-site
Typefull-time
DepartmentSchool of Mechanical & Aerospace Engineering (MAE)
Company size10,000+ people
First seen1w ago
Last seen4d ago
About the company
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.
About the role
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.
Responsibilities
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.
Requirements
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.
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Hiring Institution: NTU
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