Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- University of Sheffield
- ; Swansea University
- ; The University of Manchester
- University of Nottingham
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Exeter
- ; University of Sheffield
- ; Newcastle University
- ; University of Birmingham
- ; University of Oxford
- University of Bristol
- University of Cambridge
- ; City St George’s, University of London
- ; Lancaster University
- ; University of Warwick
- KINGS COLLEGE LONDON
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Manchester
- University of Newcastle
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Loughborough University
- ; UCL
- ; University of Cambridge
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Harper Adams University
- Imperial College London
- Newcastle University
- Trinity College Dublin
- UCL
- University of Glasgow
- University of Nottingham;
- 34 more »
- « less
-
Field
-
equivalent) in Civil Engineering, Environmental Engineering, Hydrogeology, Geosciences, Environmental Sciences, or related STEM disciplines (e.g., Applied Mathematics, Physics, Computational Sciences
-
of the intersection between quantum theory and space-time — using modern methodological approaches from quantum information theory — you are very welcome to apply. Your personal sphere of influence: As a university
-
will need to contact the project supervisor to discuss. Online applications are made by clicking the 'Apply' button, above. Please select PhD in Mechanical Engineering on the Programme Choice page. You
-
Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
system health monitoring, and more efficient maintenance planning. Digital twins offer a powerful foundation but must evolve beyond simulation to truly support engineering decisions. This PhD will develop
-
of control theory and optimization. Knowledge of partial differential equations. Have a strong coding ability Research Associate: Hold a PhD in Engineering, Mathematics or a closely related discipline, or
-
candidates to work with our interdisciplinary and collaborative team on a project on research and development of innovative surface treatments of advanced engineering materials. You will be based in Manchester
-
the recording of substrate-borne vibrations produced by earthworms (and other invertebrates) in situ. To fully exploit this emerging technology there is a need to unravel the meaning within the data. As such
-
to demonstrate a good appreciation of generative AI, especially with respect to its use in video creation. This PhD studentship is fully funded for up to 3.5 years with a tax-free studentship stipend of £20,780
-
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