Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Newcastle University
- Cranfield University
- The University of Manchester
- University of Birmingham
- The University of Manchester;
- UCL
- University of Nottingham
- University of Exeter
- University of Exeter;
- University of Cambridge
- University of Sheffield
- University of Warwick
- Imperial College London
- Loughborough University;
- University of Glasgow
- ;
- Loughborough University
- Manchester Metropolitan University;
- UNIVERSITY OF VIENNA
- University of Bristol;
- University of East Anglia;
- University of Liverpool;
- University of Newcastle
- University of Nottingham;
- University of Oxford;
- University of Surrey
- AALTO UNIVERSITY
- Abertay University
- Bangor University
- Cranfield University;
- Imperial College London;
- King's College London Department of Engineering
- Newcastle University;
- Queen Mary University of London
- Queen's University Belfast
- Swansea University
- The Francis Crick Institute;
- The Open University;
- The University of Edinburgh
- University of Birmingham;
- University of Bristol
- University of Cambridge;
- University of East Anglia
- University of Leeds;
- University of Manchester
- University of Oxford
- University of Plymouth
- University of Surrey;
- University of Sussex
- 39 more »
- « less
-
Field
-
Supervisors: Prof Manish Tiwari Prof Shervanthi Homer-Vanniasinkam Clinical Partner: The Royal National Orthopaedic Hospital (RNOH) Collaborator: Dr. Priya Mandal – UCL Mechanical Engineering
-
The project: This PhD studentship is an exciting opportunity to work at the intersection of composites structures and composites manufacturing with a particular focus on sustainability. The PhD
-
programming (e.g., Python, MATLAB). Energy system modelling expertise with experience in academic research Preferred Skills: Educational background in Electrical Engineering, Computer Science, Renewable Energy
-
proposals for funding. • A PhD or equivalent in biomedical engineering, biotechnology, electrical engineering or a closely related discipline, or equivalent research, industrial or commercial experience
-
Applications should be submitted via the Civil and Environmental Engineering PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish
-
: search for the ‘Course Title’ using the programme code: 8040F select ‘Civil Engineering PhD (full time) – 8040F' as the programme of study You will then need to provide the following information in
-
Computer Science, Electrical Engineering, Cybersecurity, or a related discipline. Strong programming skills (Python or similar). Knowledge of AI/ML concepts and techniques. Understanding of cybersecurity
-
applicants may require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How To Apply How to apply Please read and complete
-
Science, Electrical Engineering, or a closely related discipline, ideally with a focus on Cyber Security. Experience with common laboratory equipment such as oscilloscopes, signal generators, and software-defined
-
behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental