Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Birmingham
- University of Sheffield
- University of Cambridge
- ; University of Southampton
- ; University of Surrey
- ; University of Warwick
- ; University of Exeter
- ; Cranfield University
- ; Newcastle University
- ; University of Nottingham
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; Loughborough University
- ; University of Oxford
- ; University of Sheffield
- Imperial College London
- University of Newcastle
- ; Brunel University London
- ; University of East Anglia
- ; University of Strathclyde
- AALTO UNIVERSITY
- Abertay University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Greenwich
- ; University of Leeds
- ; University of Reading
- ; University of Sussex
- Harper Adams University
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Manchester Metropolitan University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Copenhagen
- ; University of Plymouth
- Aston University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- University of Glasgow
- University of Liverpool
- 42 more »
- « less
-
Field
-
join a vibrant, supportive research community (around 20-25 people involved in fluids modelling research). Collaborate with the Leonardo Centre for Tribology: Work with top researchers on experimental
-
, organisational and policy context of the National Health Service. The PhD research will focus on how bottom-up networks are involved in promoting change. In recent years, numerous networks of clinicians
-
fine-scale, fully distributed hydrological modelling, with the ultimate goal of optimising NFM strategies in moorland, to improve flood resilience for rural, upland communities. The studentship will be
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
intelligent methods that integrate large language models (LLMs) and knowledge graphs to interpret technical documentation and structure complex engineering knowledge. The goal is to create digital twins
-
ultrasonic sensors for real-time seal gap measurement. Combine experimental research and mathematical modelling to pioneer innovative sealing solutions. What We Offer Full 4-year Funding for UK applicants
-
assessment. Stress testing & model robustness. Generative imaging models. Please see job description for a full list of requirements. *Candidates who have not yet been officially awarded their PhD will be
-
transformer in operation. On the other hand, the Total Cost of Ownership (TCO) model is widely used to measure the whole lifetime cost of the transformer. In addition to the capital cost, cost of losses
-
formulation. These models will enable rapid scenario testing, predictive analysis, and early decision-making, thereby reducing experimental workload and accelerating development timelines. Life cycle assessment
-
, structural equation modelling, visualisation, preferably in R Competences in quantitative research methods – ideally knowledge of several of the following aspects of quantitative data analysis: experimental
-
search strategies 3) How to leverage the spatio-temporal diversity of multistatic radar observations At the end of the PhD an over-arching modelling environment will be built, where the parameters above