Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- University of Nottingham
- ; Swansea University
- ; University of Surrey
- AALTO UNIVERSITY
- University of Cambridge
- University of Sheffield
- ; Cranfield University
- ; University of Birmingham
- ; University of Bristol
- ; University of Warwick
- ; University of Oxford
- ; Brunel University London
- ; University of Sheffield
- ; University of Southampton
- ; University of Sussex
- Abertay University
- University of Oxford
- ; Aston University
- ; Bangor University
- ; Durham University
- ; Imperial College London
- ; King's College London
- ; Loughborough University
- ; Manchester Metropolitan University
- ; Newcastle University
- ; The University of Edinburgh
- ; University of Greenwich
- ; University of Liverpool
- ; University of Plymouth
- ; University of York
- Aston University
- Imperial College London
- UNIVERSITY OF SOUTHAMPTON
- University of Liverpool
- University of Manchester
- University of Newcastle
- 29 more »
- « less
-
Field
-
. Funding This is a self-funded PhD. Find out more about fees. Cranfield Doctoral Network Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and
-
Wales Medical School, Bangor University. This is a collaborative project with Cardiff University and Swansea University. The studentship is funded by Cancer Research Wales and covers the full cost
-
. Research will be focused on the lifelong safety assurance of increasingly autonomous AI systems in dynamic and uncertain contexts. It will build on methodologies and concepts in disciplines spanning AI
-
) of high-value critical assets. Through this PhD research, algorithms and tools will be further improved and developed, validated and tested. It is expected that combining the domain knowledge and the
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop
-
PhD Studentship: Improved Heat Transfer Understanding via Conjugate Heat Transfer, Co-Simulation and AI Approaches Research has shown that the development of gas turbines is critical to the success
-
experts in the prognostics and condition monitoring field, as well as being part of our strong and dynamic research centre at Cranfield University. About the host University/Centre Cranfield is an
-
4-year D.Phil. studentship Supervisors: Dr Simone Falco, Prof Daniel Eakins The ability to simulate initiation and detonation effects within energetic materials is a significant capability gap
-
representing curved surfaces with piecewise linear approximations. The error introduced by using FE is particularly limiting when modelling dynamic events, as numerical dispersion and dissipation error of waves
-
its environment and respond optimally in dynamic operating conditions. Meanwhile, you will also develop intelligent control strategies that minimise energy use while ensuring punctuality and safety