Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ;
- ; The University of Manchester
- University of Sheffield
- ; University of Nottingham
- ; Swansea University
- ; University of Birmingham
- ; University of Southampton
- ; Cranfield University
- University of Cambridge
- ; University of Surrey
- AALTO UNIVERSITY
- Brunel University
- University of Bristol
- ; University of Oxford
- ; University of Warwick
- Newcastle University
- The University of Manchester
- The University of Manchester;
- University of Warwick;
- ; Aston University
- ; Brunel University London
- ; Imperial College London
- ; Loughborough University
- ; Newcastle University
- ; University of Bristol
- ; University of Cambridge
- ; University of Exeter
- ; University of Strathclyde
- Bangor University
- Harper Adams University
- Kingston University
- Swansea University
- UCL;
- University of East Anglia
- University of Exeter
- University of Manchester
- University of Newcastle
- University of Surrey
- 30 more »
- « less
-
Field
-
Discipline: Engineering & Technology, Materials Science, Mechanical Engineering Qualification: Doctor of Philosophy in Engineering (PhD) This project is a collaborative research effort between
-
maritime and autonomous. You will have a prior background in naval architecture, ocean engineering and mechanical engineering. You should be already familiar with the majority of simulation and experimental
-
Open to: UK fee eligible applicants only Funding providers: EPSRC and LaVision UK Ltd Subject areas: Biomedical Engineering, Experimental Mechanics, Image-Based Measurements, Biomechanics Project
-
Crane Ltd, a world-renowned engineering technology leader. Why Join This PhD? Impact the Future of Clean Energy: Develop next-generation mechanical seals for high-pressure hydrogen systems—key
-
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
-
verification of resilient state estimators for the eVTOL and HESS. Essential and Desirable Criteria - Background: control/mechanical/electrical engineering, physics or computer science - Essential knowledge
-
: This position is ideal for candidates with a background in civil engineering, structural engineering and mechanical engineering. Applicants should demonstrate: A strong interest in both experimental and numerical
-
can feed directly into precision surgery algorithms and clinical trials. Few PhD projects offer such a clear line of sight from variant to mechanism to clinical translation. Located on the thriving
-
boundaries. This fully funded PhD scholarship is suitable for students with a background in Engineering Design, Smart Manufacturing, Aerospace Engineering, Mechanics, Computer Science, Mathematics, Life Cycle
-
-field methods) Multiscale mechanics and microstructure-property relationships Python/C++/Matlab-based simulation and data analysis Industry-facing research and technology transfer You will also benefit