Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- University of Cambridge
- ; University of Birmingham
- ; Swansea University
- ; University of Nottingham
- ; University of Southampton
- ; University of Warwick
- University of Manchester
- University of Sheffield
- ; The University of Edinburgh
- ; University of Exeter
- ; Cranfield University
- ; Newcastle University
- ; University of Surrey
- University of Newcastle
- ; University of Oxford
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Oxford
- ; City St George’s, University of London
- ; Loughborough University
- ; University of Bristol
- ; University of Leeds
- Imperial College London
- UNIVERSITY OF VIENNA
- ; Brunel University London
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Strathclyde
- Abertay University
- Newcastle University
- University of Bristol;
- University of Warwick
- ; Imperial College London
- ; University of Sussex
- Brunel University
- Heriot Watt University
- Newcastle University;
- THE HONG KONG POLYTECHNIC UNIVERSITY
- The University of Manchester;
- University of Birmingham;
- University of Cambridge;
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; King's College London
- ; Lancaster University
- ; UWE, Bristol
- ; University of East London
- ; University of Greenwich
- ; University of Huddersfield
- ; University of Stirling
- Harper Adams University
- Heriot-Watt University;
- Swansea University
- The University of Manchester
- UCL
- UNIVERSITY OF EAST LONDON
- University of Glasgow
- University of Hertfordshire;
- University of Liverpool
- University of London
- University of Nottingham;
- 56 more »
- « less
-
Field
-
Application deadline: All year round Research theme: Systems and Control How to apply: uom.link/pgr-apply-2425 This 3.5 year PhD project is funded by The School of Engineering and is available
-
this testbed available to users for testing hardware and applications. NPL will lead on the testing and security evaluation of the testbed and collaborate widely on the technology development. The student’s
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable
-
and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
-
multidisciplinary research team within the School of Electrical, Electronic and Mechanical Engineering. SMG is known for its work in computational mechanics, fatigue, fracture, and advanced materials modeling
-
together leading research groups in the Department of Chemistry, Warwick Manufacturing Group (WMG) and the School of Engineering at the University of Warwick. The centre collectively has world-leading
-
economic studies funded by the UK National Institute for Health and Care Research. Experience of conducting economic evaluations using suitable statistical software (e.g. STATA, R or SAS) is essential
-
students and post-doctoral researchers using high performance computing to advance understanding of high-speed aerodynamics. Over the past decade we have developed efficient open-source software that enables
-
your suitability with evidence of the following: Have backgrounds in computer science (or engineering), system engineering, or physics/mathematics. Knowledgeable in machine learning techniques (had
-
-on experience with real-world SCADA data, industry collaboration with RES Group, and training in high-fidelity simulation environments (OpenFAST, Digital Twin technology). This opportunity is ideal for those