Research Assistant in GOCS for Autonomous Driving

The post holder will contribute to the exciting research programme of an awarded EPSRC Established Career Fellowship to Prof Wen-Hua Chen. It aims to develop fundamental control theory for next generation of control systems where the specifications are given in terms of what the system needs to achieve, rather than how to achieve as in traditional control systems. This was driven by the needs of moving from low levels of automation to high levels of automation. Such an example could be found in unmanned aircraft systems, autonomous driving, precision agriculture, and fully automated warehouse and factory.

The fellowship will make ground-breaking through in developing new analysis and design tools for high levels of automation systems with proven properties. The research focus will be on the interplay between learning, uncertainty, controlled dynamics, information processing, decision making/control strategy, environment, and constraints (e.g. safety, physical, or legal). The post holder will have an opportunity joining an international leading team working on cutting edge research. He/she will have opportunities to collaborate with industrial partners and international leading universities.  It is expected that the post holder shall have strong analytical skills, and are interested in working on challenging theoretic problems in the engineering context.     

There is an opportunity for appointing a part-time Research Assistant that is complementary with the current research profile in the Fellowship programme. It is expected that the appointee shall be working on developing new decision making and control strategies for autonomous driving  using developed dual control for exploitation and exploration (DCEE). They will closely collaborate with other members of the core Fellow team. We are looking for candidates with strong skills in one or several areas: DCEE, decision making, supervisory control, optimisation, Bayesian inference. The applicant shall have experience in unmanned vehicles, or autonomous systems.

The position is available from 01/04/2024 for a duration of 6 months on a part-time basis.

Informal enquiries should be made to Dr Wen-Hua Chen, Professor in Autonomous Vehicles by email at [email protected] or by telephone on +44 1509 227 230.

Closing date 4 April 2024

Further details available in the Job Description and Person Specification.