Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- Newcastle University
- University of Birmingham
- AALTO UNIVERSITY
- The University of Manchester
- University of Cambridge
- University of East Anglia
- University of East Anglia;
- University of Newcastle
- Imperial College London;
- The University of Manchester;
- University of Birmingham;
- University of Cambridge;
- University of Nottingham
- University of Sheffield
- University of Surrey
- Edinburgh Napier University;
- Harper Adams University
- The Institute of Cancer Research
- University of Sheffield;
- ;
- ; Swansea University
- ; University of Nottingham
- ; University of Plymouth
- ; University of Surrey
- European Magnetism Association EMA
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London Department of Engineering
- NORTHUMBRIA UNIVERSITY
- Newcastle University;
- Oxford Brookes University
- The University of Edinburgh
- The University of Edinburgh;
- UNIVERSITY OF VIENNA
- University of Bristol
- University of Essex;
- University of Exeter
- University of Glasgow
- University of Leeds
- University of Leeds;
- University of London
- University of Nottingham;
- University of Oxford
- University of Oxford;
- University of Strathclyde;
- 36 more »
- « less
-
Field
-
as the advert will be removed once the position has been filled. As AI systems scale, privacy, security, and trustworthiness emerge as challenges. For instance, private data may be leaked during model
-
can be found here . A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience
-
; biogeochemistry and fisheries modelling). The PhD candidate will acquire and/or strengthen their understanding of interdisciplinary working, modelling and statistics applied to economics, trade-off analysis skills
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
for automated, data-driven diagnostics, integrating AI with high-resolution imaging and sensing offers a transformative solution. AI models can learn to recognize subtle damage patterns, enabling faster, more
-
engineering, prefer to have experience in IC engines, combustion and CFD. How to apply Applications should be submitted via the Automotive Engineering PhD programme page. In place of a research proposal, you
-
found here . A minimum 2:1 Honours degree or international equivalent in a subject relevant to the proposed PhD project is our standard entry, however we place value on prior experience, enthusiasm
-
Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
-
-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
-
and kinematic models with machine-learning-based channel state information (CSI) prediction to enable robust, low-latency connectivity across multi-layer NTN systems. This PhD project sits
-
. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour