Sort by
Refine Your Search
-
Category
-
Employer
- The University of Manchester
- University of Nottingham
- University of Warwick
- Manchester Metropolitan University
- University of Warwick;
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of East Anglia
- AALTO UNIVERSITY
- Manchester Metropolitan University;
- Newcastle University
- Brunel University
- Imperial College London
- Oxford Brookes University
- The University of Manchester;
- University of Bedfordshire
- University of Sheffield
- University of Sussex
- ;
- Durham University
- Heriot Watt University
- King's College London
- Newcastle University;
- Swansea University
- University of Birmingham;
- University of Exeter
- University of Oxford
- University of Plymouth
- University of Salford
- University of Sheffield;
- University of Surrey
- 21 more »
- « less
-
Field
-
Engineering are welcome. To apply, please contact Prof João Quinta da Fonseca - - [email protected] . Please include details of your current level of study, academic background and any relevant
-
Would you like to use cutting-edge artificial intelligence to solve real-world physics and engineering problems that matter? This fully funded PhD studentship offers an exceptional opportunity to do
-
include doped oxides or composites engineered to enhance ionic mobility while suppressing electronic conductivity. A key objective will be to understand the relationships between chemical composition
-
) are widely used in industries such as automotive and electrical engineering. During service, these materials are frequently exposed to harsh environments involving elevated temperatures, oxygen, and moisture
-
of mill and production operations. The scientific challenge will be to use the model and machine learning alongside live mill data (temperature, rolling loads etc) to reverse engineer the current
-
, deformable, damp) have to be handled. Despite the recent progress in the field, current tactile sensitive skins into robots still presents a number of significant challenges. The key performance parameters
-
-convex optimisation, performance analysis, machine learning, etc.) 1) Applicants should have, or expect to achieve, at least a master’s (or international equivalent) in a relevant science or engineering
-
of mathematics, physics, electrical engineering and AI, helping to develop a theory that explains how and why these systems work — and how to design better ones. Why apply for this PhD? Work on the next-generation
-
challenge is enabling high-level reasoning for long-horizon tasks without compromising the speed, reliability and efficiency required for real deployment. Current systems often reason effectively but act
-
technologies. But are these knowers experts? And can current philosophical understandings of expertise account for these forms of knowledge? Bodies of Knowledge investigates how expertise is produced and