NATIONAL UNIVERSITY OF SINGAPORE

Research Fellow, Design, Analyse and Develop Control Algorithms

Location
Singapore
Posted
Friday, 21 January 2022
End of advertisement period
Sunday, 20 February 2022
Ref
4501144
Contract Type
Fixed Term
Hours
Full Time

Job Description

A Research Fellow position is open in the research group of Assistant Professor Zhao Lin, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The Research Fellow will work closely with the Principal Investigator (PI) on one or more research projects. He/ She is required to 

  • Focus on the design and analysis of performance control algorithms, to provide and to improve the theoretical performance guarantees, such as steady-state precision, convergence rate, optimality, etc. 
  • Develop AI-assisted constrained control algorithms to enable more intelligent and robust autonomous operations, for example obstacle avoidance. The design will be demonstrated through UAVs (unmanned aerial vehicles).
  • Responsible for conducting theoretical research on control, learning, and game theory, designing new control and learning algorithms, and verifying algorithms through simulation and real experiments. 

Qualifications

  • Possess a recognised PhD degree in either Electrical Engineering or strictly related (e.g., Mathematics, Electrical Engineering, Mechanical Engineering, Control Engineering, etc).
  • Have a solid mathematical background (such as in calculus, linear algebra, ODE/PDE, real analysis, measure theory, probability theory, stochastic process, optimization, etc). 
  • Proven publication record in leading journals and conferences are highly valued. 
  • Preferably with practical hands-on experience of applying learning methods to real robotics applications (e.g., autonomous driving, unmanned aerial vehicles)
  • Have substantial research experiences/experiences in control, reinforcement learning, game theory, autonomous driving, and/or UAVs.
  • Possess a strong academic record proved through coursework (especially math-intensive courses) and projects during his/her undergraduate and doctoral studies.
  • Have well-established analytical and problem-solving skills, as documented by publications that are relevant to the field of reinforcement learning and control for robotics applications.
  • Excellent communication skills as he/she is required to publish and to present results at conferences and journals independently.
  • Activity performed in world-class research environments is highly valued.
  • Open to fixed-term contract.

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No
Job requisition ID : 7261