Sort by
Refine Your Search
-
decision processes. Use the CARLA simulation platform to generate DCD-style data in high-risk or ambiguous driving scenarios. Build a proof-of-concept verification pipeline that maps DCD outputs
-
June 2026 (although funding is in place for a six-month extension). The successful candidate will join a multidisciplinary team in Mechanical Engineering and Civil and Environmental Engineering, and will
-
, self-driving vehicles and autonomous systems. The successful applicant will be expected to teach on our undergraduate programme in Mechanical Engineering. This is a well-established programme which
-
acclaimed start-up and incubation hub SETsquared, collaborative R&D funding initiatives and access to leading advisors and academics at the University. The Centre for Vision, Speech and Signal Processing
-
: Operational Research Applied Mathematics Computer Science Business Analytics A related quantitative field You will also bring experience in: Optimisation algorithms (exact methods and heuristics), Strong
-
the Engineering and Physical Sciences Research Council. The work in the project builds on recent seminal work carried out by the project investigators on Linear Angular Momentum Multiplexing (LAMM) . The project is
-
– www.decade.ac.uk GOALS OF THE POSITION Within the DECaDE project, this Research Fellow position will work on a project co-created with business and computer science. The theme is specifically: The AI data supply
-
combining high-fidelity computational modelling with artificial intelligence to overcome key barriers in performance. The investigation will focus on optimising core gas exchange and combustion processes
-
Process Engineering Research PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant
-
within the discipline (e.g. in the areas of organisational behaviour, HRM and business analytics) and the wider University (e.g. computer science, linguistics). All staff publish their research widely in