Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- University of East Anglia
- University of Exeter
- The University of Manchester
- University of Birmingham
- University of Exeter;
- ;
- Imperial College London;
- University of Warwick
- The University of Manchester;
- University of Sheffield
- Loughborough University
- The University of Edinburgh
- University of Birmingham;
- University of East Anglia;
- Swansea University
- University of Oxford
- Swansea University;
- The University of Edinburgh;
- UCL
- University of Cambridge
- University of Cambridge;
- University of Oxford;
- University of Warwick;
- Loughborough University;
- Newcastle University;
- Bangor University
- University of Newcastle
- University of Nottingham;
- University of Sheffield;
- University of Surrey
- AALTO UNIVERSITY
- Edinburgh Napier University;
- European Magnetism Association EMA
- Royal College of Art
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Bristol;
- University of Glasgow
- University of Leeds;
- University of Manchester
- University of Plymouth;
- Abertay University
- Brunel University London
- City St George’s, University of London
- Coventry University Group;
- Cranfield University;
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- Kingston University
- Lancaster University
- Lancaster University;
- Liverpool John Moores University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Oxford Brookes University
- Queen's University Belfast
- The Institute of Cancer Research
- UCL;
- University of Bradford
- University of Bradford;
- University of Derby
- University of Glasgow;
- University of Hull
- University of Hull;
- University of Leeds
- University of Plymouth
- University of Reading
- University of Strathclyde;
- University of Surrey;
- 63 more »
- « less
-
Field
-
and optimization of machine learning methods. Candidate’s profile An ideal candidate would typically have: a strong degree or higher qualification in a relevant field (e.g. computer science, mathematics
-
Institute, with close ties to the Department of Computer Science and Technology. Preferred skills/knowledge We are seeking a passionate and collaborative PhD student with a strong background in machine
-
Electrosynbionics [1] involves the use of biological parts to create devices that generate electricity, such as biological photovoltaics and biobatteries. Electrosynbionic systems can be sustainable power sources for electronics, supporting the Green Transition. Biosensing involves detection of...
-
Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview Autonomous vehicles are poised to re-define our future mobility. However, full autonomy is not possible without all-weather...
-
the execution of the project. The candidate(s) will undertake original research in AI-driven Financial Computing, within the School of Informatics in collaboration with School of Mathematics and the Centre
-
Deadline: 7th January 2026 One fully funded, full-time PhD position to work with Dr. Viacheslav Borovitskiy in his new research group at the School of Informatics, University of Edinburgh. Our
-
The development of sustainable and efficient powertrain systems is central to achieving global decarbonisation targets in transport. Professor Xu has long-standing expertise in internal combustion engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive...
-
One fully funded, full-time PhD position to work with Alessandro Suglia in the Embodied, Situated, and Grounded Intelligence (ESGI) group at the School of Informatics, University of Edinburgh
-
programming skills in Python/MATLAB, and an interest in digital twin technologies, cybersecurity and machine learning. Entry Requirements Acceptable first degree: Computer Science or related disciplines
-
capabilities to match the real outcome as closely as possible. Entry Requirements Acceptable first degree - Computer Science, Engineering, Physics or Mathematics. The standard minimum entry requirement is 2:1