Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Sheffield
- ;
- University of Nottingham
- ; Swansea University
- ; The University of Edinburgh
- ; The University of Manchester
- University of Bristol
- ; University of Bristol
- ; University of Exeter
- ; University of Oxford
- The University of Edinburgh
- University of Cambridge
- ; City St George’s, University of London
- ; Lancaster University
- ; Newcastle University
- ; University of Birmingham
- ; University of Sheffield
- ; University of Warwick
- KINGS COLLEGE LONDON
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Manchester
- University of Newcastle
- University of Warwick
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; Imperial College London
- ; Loughborough University
- ; UCL
- ; University of Cambridge
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- AALTO UNIVERSITY
- Harper Adams University
- Lancaster University
- Newcastle University
- UCL
- University of Birmingham
- University of Glasgow
- University of Nottingham;
- 33 more »
- « less
-
Field
-
Research Groups at the Faculty of Engineering, which conduct cutting-edge research into electric propulsion systems, composite materials, and advanced simulation technologies. Vision We are seeking a highly
-
access to bespoke courses developed for Engineering PGRs. including sessions on paper writing, networking and career development after the PhD. The Faculty has outstanding facilities and works in
-
. The successful candidate for this PhD position will be involved in the experimental and theoretical development of a new technology called Surface Nanoscale Axial Photonics (SNAP), which will enable
-
sources such as (i) atmospheric models, (ii) satellite remote sensing, (iii) land use information, and (iv) meteorological data. The aim of this PhD is to develop and implement models for integrating data
-
related discipline. Strong background/skills on machine learning, mathematics, probabilistic modelling and optimisation are preferred. To apply please contact the supervisor, Dr Mu - Tingting.Mu
-
, Machine Learning, AI, and related areas including Optimization, Mathematics and Physics are welcome to apply. The candidate is expected to conduct independent research and should have strong analytical
-
, Mathematical Sciences, Materials Science and Engineering, and Chemical Engineering are welcome to apply. If you are seeking an exciting opportunity to become part of a multidisciplinary team of esteemed
-
Qualification Type: PhD Location: Nottingham Funding For: UK Students Funding amount: Full tuition fee waiver pa (Home Students only) and stipend at above UKRI rates pa (currently at £20,780
-
should have or expect to achieve, at least a 2:1 (or equivalent) in any engineering degree programme, physics or mathematics. English language requirements: Applicants must meet the minimum
-
How to apply: uom.link/pgr-apply-2425 No. of positions: 1 Eligible for: UK students This 4-year PhD project will be funded by DLA studentship. UK students and EU students with settled status