Research Associate (Model Predictive Control) Full-time

Research Associate

The School of Mechanical and 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.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Associate to work on the development of model predictive control algorithms for autonomous robots.

Key Responsibilities:

• Development of model predictive control algorithms for autonomous robots

Job Requirements:

• A Master degree in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, Applied Maths, Physics, or any related field
• Strong background in control theory, and/or optimisation-based algorithms
• Proficiency in programming languages in Python and C/C+
• A curious and ambitious mindset for research

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