Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- University of Nottingham
- ;
- ; Swansea University
- ; The University of Manchester
- ; University of Southampton
- ; University of Surrey
- University of Sheffield
- ; City St George’s, University of London
- ; University of Birmingham
- ; Newcastle University
- ; Loughborough University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- ; University of Nottingham
- ; University of Oxford
- ; Cranfield University
- ; University of Sheffield
- Abertay University
- The University of Edinburgh;
- The University of Manchester
- University of Bristol
- University of Sheffield;
- ; Aston University
- ; Brunel University London
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; St George's, University of London
- ; University of Cambridge
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Strathclyde
- ; University of Warwick
- Coventry University Group;
- Harper Adams University
- Loughborough University;
- Manchester Metropolitan University
- Newcastle University
- The University of Manchester;
- UCL
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol;
- University of Exeter
- University of Greenwich
- University of Liverpool
- University of Nottingham;
- University of Oxford
- University of Warwick
- University of Warwick;
- 45 more »
- « less
-
Field
-
This PhD opportunity at Cranfield University explores how next-generation AI models can be embedded within resource-constrained electronic systems to enable intelligent, real-time performance
-
. The enhanced image quality will support earlier and more reliable detection of eye diseases. Combining artificial intelligence with mathematical modelling, this non-invasive, cost-effective approach has
-
: Coordination Layer: Formulate passivity-based conditions that guarantee agents—modelled as general nonlinear systems—synchronize their outputs or follow desired collective patterns purely through local
-
behaviours of thin foils in vacuum and inert environments will be explored. Based on the results, a constitutive material model including the creep effect (time, temperature and load dependencies) will be
-
. The project delves into areas such as hardware-based security measures, tamper detection, and the integration of explainable AI models within embedded platforms. Situated within the esteemed IVHM Centre and
-
constitutive material model including the creep effect (time, temperature and load dependencies) will be developed. This project is available from 1st October 2025. Applications accepted until post is filled
-
-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
-
) and biomechanical modelling, to support rehabilitation of impaired hand function. It addresses critical limitations in current hand rehabilitation devices, which are often rigid, uncomfortable, and
-
and use the results to iteratively refine devices and models. You should have the ambition to publish you work in top ranked international journals and at leading conferences and have a dedication to
-
well as across the full life cycle. Expected Outcomes Development of aircraft energy consumption model(s) Adaptation and application of the model for different fuels and/or propulsion systems, and for different