Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- Imperial College London;
- The University of Manchester
- University of Birmingham
- University of Manchester
- ;
- Harper Adams University
- University of East Anglia
- University of Sheffield
- UCL
- University of Cambridge
- University of Cambridge;
- University of Exeter
- University of Exeter;
- University of Surrey
- AALTO UNIVERSITY
- Loughborough University
- Loughborough University;
- Swansea University
- The University of Edinburgh
- University of Birmingham;
- University of East Anglia;
- University of Glasgow
- University of Newcastle
- University of Plymouth
- University of Warwick
- Abertay University
- Bangor University
- Brunel University London
- Cranfield University;
- Durham University;
- Imperial College London
- Kingston University
- Manchester Metropolitan University
- Swansea University;
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Bradford;
- University of Bristol;
- University of Leeds
- University of Leeds;
- University of Oxford;
- University of Strathclyde;
- 35 more »
- « less
-
Field
-
intelligent systems aim to optimize power usage without compromising performance, employing strategies like power-aware computing and thermal-aware optimization. These systems are crucial in extending
-
the computational inefficiencies of physics-based models and enabling faster, potentially more accurate predictions. However, AI models require substantial volumes of high-quality, labelled training data, which
-
-box techniques in the industry is still high. One of the main reasons is that the performance of such techniques highly depends on a large amount of good-quality data. Unfortunately, the availability
-
Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position is part of the Aalto Hydrogen Innovation Centre Doctoral School (https
-
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
-
-2026 JANUARY 2026 start ONLY For April and October starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme
-
-2026 April 2026 start ONLY For January and October starts please use the relevant application. This form is only to be used by those self-funded applicants seeking a place on a research degree programme
-
repair and maintenance of gas turbine engines. Applicants are invited to undertake a fully funded three-year PhD programme in partnership with Rolls-Royce to address key challenges in soft robotics
-
Rolls-Royce University Technology Centre (UTC) in manufacturing and On-Wing Technology, The University of Nottingham. Applicants are invited to undertake a three-year PhD programme in partnership
-
-University Graduate School offers an integrated training programme to the postgraduate community within a single centre, serving to inculcate interdisciplinary working in our next generation of researchers