Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- University of Cambridge
- ; University of Birmingham
- ; University of Reading
- ; University of Southampton
- University of Newcastle
- ; University of Exeter
- Imperial College London
- ; Brunel University London
- ; Newcastle University
- ; University of Nottingham
- ; University of Sheffield
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Bradford
- ; University of Cambridge
- ; University of Leeds
- ; University of Oxford
- ; University of Plymouth
- ; University of Warwick
- Abertay University
- Harper Adams University
- University of Oxford
- ; Aston University
- ; City St George’s, University of London
- ; Cranfield University
- ; Durham University
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Midlands Graduate School Doctoral Training Partnership
- ; St George's, University of London
- ; The University of Edinburgh
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Kent
- ; University of Stirling
- ; University of Strathclyde
- ; University of Surrey
- ; University of Sussex
- Aston University
- Brunel University
- Heriot Watt University
- KINGS COLLEGE LONDON
- UNIVERSITY OF VIENNA
- University of East London
- University of Leicester
- Utrecht University
- 42 more »
- « less
-
Field
-
PhD studentship, University of Bradford, Faculty of Health Studies Application Deadline: 16 June 2025 Project Title: Using new technologies to prevent falls of older adults in the home
-
, hypothesised to drive positive impacts on macroinvertebrate diversity and sediment dynamics. Collect field data from LWS and paired control sites. Analyse through statistical analysis significant causal effects
-
design, thermal optimisation, and AI-guided system efficiency, while gaining transferable skills in data analysis, resource modelling, sustainability evaluation, and design automation. Exposure to both
-
This PhD opportunity at Cranfield University invites candidates to explore the integration of AI into certification and lifecycle monitoring processes for safety-critical systems. The project delves
-
further developing both the experimental and data analysis methods that are currently used within the research team. The student will learn how to use the MMI apparatus, gaining knowledge of, for example
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
predictive and explainable digital twins. The core challenge this PhD will tackle is how to help digital twins make sense of complex, messy maintenance data and turn it into clear, useful insights
-
engineering, and with ability to develop multi-disciplinary perspectives relating to the PhD topic. Applicants must have very good knowledge and experience of relevant quantitative/statistical analysis methods
-
holistic views of complex chemical and biological systems. However, discrepancies in data structure, measurement scales, and resolution across platforms make this integration challenging. Existing approaches
-
hardware and data handling toolchains. The research will also involve modelling, analysis and characterisation of the system and components. The PhD will include a placement of minimum 3 months with Team
-
as the PhD will involve some advanced quantitative data analysis, although support will be given in this area. The PhD will start in September 2025 or January 2026. Funding covers tuition fees (approx