Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; University of Birmingham
- ; Swansea University
- University of Cambridge
- ; University of Warwick
- ; University of Nottingham
- ; University of Southampton
- University of Manchester
- ; The University of Edinburgh
- University of Sheffield
- ; Cranfield University
- ; Loughborough University
- ; University of Surrey
- ; Newcastle University
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; Brunel University London
- ; University of Leeds
- Imperial College London
- University of Newcastle
- ; City St George’s, University of London
- AALTO UNIVERSITY
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of Cambridge
- ; University of Reading
- ; University of Strathclyde
- ; University of Sussex
- Abertay University
- Heriot Watt University
- UNIVERSITY OF VIENNA
- ; Aston University
- ; Coventry University Group
- ; Imperial College London
- Brunel University
- THE HONG KONG POLYTECHNIC UNIVERSITY
- University of Warwick
- ; Durham University
- ; King's College London
- ; Lancaster University
- ; London South Bank University
- ; UWE, Bristol
- ; University of Bradford
- ; University of East Anglia
- ; University of Essex
- ; University of Greenwich
- ; University of Hertfordshire
- ; University of Huddersfield
- ; University of West London
- Harper Adams University
- Newcastle University
- UNIVERSITY OF SURREY
- University of Liverpool
- University of Oxford
- 48 more »
- « less
-
Field
-
summary The PhD studentship will broadly explore development of cutting-edge AI solutions for image registration, anatomy segmentation, and immersive technology. The selected candidate will work with
-
evaluation. Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle
-
machine learning (applied to spatiotemporal data). International and UK applicants are both eligible to apply. Sponsor: This scholarship is funded by the UK Engineering and Physical Sciences Research
-
responsibilities — between countries, regions, and generations — are emerging as key concerns in both academic and policy debates. This PhD will explore how different CDR approaches — including engineered options
-
, in collaboration with Rolls-Royce, will develop methods for defining fuel systems suitable for the ultra-efficient engines that will enable net zero aviation by 2050. This project aims to deliver a
-
. The aim of the PINZ CDT is to train the next generation of process and chemical engineers, and chemists, to develop the new processes, process technologies and green chemistries required for the process
-
they meet the following criteria: A first-class honours degree (or equivalent) in Engineering, Materials Science or Physics Excellent written and spoken communication skills in English Strong mathematical and
-
relevant science or engineering related discipline. To apply, please contact Dr Tom Bannan -thomas.bannan@manchester.ac.uk . Please include details of your current level of study, academic background and any
-
an IELTS score of 6.5 overall with a minimum of 5.5 in each subsection. International applicants may require an ATAS (Academic Technology Approval Scheme) clearance certificate prior to obtaining their visa
-
propulsion systems. You’ll join the wider CDT multidisciplinary cohort that values equity, diversity, and inclusion, while gaining expertise in aero-engine aerodynamics, analysis of advanced experimental data