Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; The University of Manchester
- ; University of Nottingham
- University of Manchester
- ; Swansea University
- ; University of Birmingham
- AALTO UNIVERSITY
- Harper Adams University
- ; Loughborough University
- ; University of Southampton
- University of Newcastle
- University of Sheffield
- ; Brunel University London
- ; Cranfield University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Leeds
- Imperial College London
- ; Aston University
- ; Newcastle University
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Surrey
- ; University of Warwick
- Abertay University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Cambridge
- University of Leicester
- 21 more »
- « less
-
Field
-
Verification Tools: Develop AI algorithms that automate the verification process, ensuring systems meet required safety and performance standards. Health Monitoring Algorithms: Implement AI-based monitoring
-
operation of autonomous systems in complex, real-world conditions. This PhD project aims to develop resilient Position, Navigation and Timing (PNT) systems for autonomous transport, addressing a critical
-
to address the problem is to recruit a high performing PhD student to embark on a psycho-biological, mixed-methods programme of research that has the following aim: Develop a feasible, acceptable, efficacious
-
the UKRI rate (£19,237 for 2024/25) and tuition fees will be paid. We expect the stipend to increase each year. The operation of safety-critical components is often contingent on the avoidance
-
full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 3.5 years full-time or 7 years part-time. Continuation
-
Specified use +4 - covering a full postgraduate research programme Please note that existing postgraduate research students cannot be considered for this funding. Tenable period 4 years full-time or 8 years
-
storage and transport, high-performance mechanical seals are essential. These seals prevent gas leakage by maintaining a sub-micron-thin layer of hydrogen between a rotating ceramic face and a stationary
-
hardware design, and build in fault detection and correction to ensure secure, efficient operation in space systems. The outcome will be a high-performance, fault-tolerant Falcon implementation, enhancing
-
our team but also domestically and internationally. A successful candidate will be open to learning new research areas in the collaborations. With a high research performance, there are potential
-
Aviation by 2050. This exciting doctoral project, in collaboration with Rolls-Royce, will develop innovative computer vision methods which when combined with optical flow velocimetry will enable imaging