Research Fellow (Perception system/Robotics & Automation)

The School of Mechanical and Aerospace Engineering (MAE) is ranked 5th in the world (QS Subject ranking 2021) and boasts well-established industry partnerships with prominent companies such as Rolls-Royce, General Electric, HP Inc, Pratt & Whitney and Singapore Airlines. With a faculty comprising more than 90 professors, it is one of the largest mechanical engineering schools in the world. Faculty members are drawn from renowned universities worldwide, providing a wealth of collective expertise in traditional and emerging mechanical and aerospace engineering, and in specialities including advanced manufacturing, mechatronics, innovative design, nanotechnology, and biomedical and computational applications.

We are looking for a research fellow to conduct research on perception system for vision-based perception system for high-performance car.

Key Responsibilities:

• Leading the development of vision-based perception algorithms for high-performance high-speed autonomous vehicles.

• Involve in perception, mapping, localization, state estimation, test rig set-up, and experimental validation.

• Planning general research program and direction.

• Making individual/team decisions about design and conduct of research methods and experiments.

• Maintenance and repair of equipment and apparatus.

• Advice on consumable and small scale purchasing.

• Directing students/collaborators research.

• Involve in publication decisions, papers, conference abstracts etc.

• Involve in strategy for long-term research program and wider research strategy of the research group.

Job Requirements:

• PhD Degree in Automation, Robotics, Computer Science, AI, Mechanical Engineering, Control Engineering, Mechatronics, etc.

• Strong background in perception system, robotics and automation.

• Candidates having relevant research or working experience in perception system algorithms will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

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