Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- University of Nottingham
- ; The University of Manchester
- ; Swansea University
- ; University of Nottingham
- ; University of Southampton
- University of Sheffield
- ; University of Birmingham
- ; University of Surrey
- ; Brunel University London
- ; Cranfield University
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; Aston University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; King's College London
- ; The University of Edinburgh
- ; University of Cambridge
- ; University of Exeter
- ; University of Hertfordshire
- ; University of Oxford
- ; University of Plymouth
- ; University of Reading
- ; University of Sheffield
- ; University of Strathclyde
- ; University of Sussex
- Harper Adams University
- Newcastle University
- University of Liverpool
- University of Manchester
- 23 more »
- « less
-
Field
-
Advances in computing, experiments, and information will continue to reshape engineering in the next decade. This PhD position will nurture a multidisciplinary innovator with the tools to unravel
-
Embark on a ground-breaking PhD project harnessing the power of Myopic Mean Field Games (MFG) and Multi-Agent Reinforced Learning (MARL) to delve into the dynamic world of evolving cyber-physical
-
are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
-
constructed to support the researcher as the PhD progresses with specific courses aimed at the different phases of a PhD. For example, the programme includes aspects such as research methods, technical report
-
for the probability of occurrence of FBO responses. Applications are invited for a fully fundedPhD studentship (UK or EU or International) working on the project. The PhD student will join Rolls Royce Computational
-
equivalent in a relevant discipline such as aerospace engineering, mechanical engineering, electrical engineering, computer science/engineering, applied physics/mathematics, or related fields. Prior experience
-
, multidisciplinary PhD research projects across areas such as: Zero Emission Technologies. Ultra Efficient Aircraft, Propulsion, Aerodynamics, Structures and Systems. Aerospace Materials, Manufacturing, and Life Cycle
-
opportunities. Be mentored by internationally recognised research leaders Our cohort-based, 4-year scheme offers a distinctive PhD training experience. During this structured PhD programme, you will complete
-
Application’. Use ‘Course Search’ to identify your programme of study: · search for the ‘Course Title’ using the programme code:8209F · Select ‘PhD Water Infrastructure & Resilience (WIRe)' as the
-
Postgraduate Programme of Study (soton.ac.uk) Select programme type (Research), 2025/26, Faculty of Engineering and Physical Sciences, next page select “PhD Computer Science (Full time)”. In Section 2