Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- University of Nottingham
- University of Sheffield
- ; Swansea University
- ; The University of Edinburgh
- ; University of Bristol
- ; University of Warwick
- ; University of Exeter
- ; University of Sheffield
- ; Newcastle University
- ; University of Birmingham
- ; University of Oxford
- ; City St George’s, University of London
- ; Lancaster University
- ; UCL
- ; University of Reading
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Manchester
- University of Newcastle
- ; Aston University
- ; Coventry University Group
- ; Cranfield University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Imperial College London
- ; Loughborough University
- ; University of Cambridge
- ; University of East Anglia
- ; University of Nottingham
- ; University of Southampton
- ; University of Surrey
- ; University of Sussex
- AALTO UNIVERSITY
- Harper Adams University
- Imperial College London
- University of Glasgow
- University of Warwick
- 29 more »
- « less
-
Field
-
Application deadline: All year round Research theme: Control systems and theory, Applied Mathematics How to apply:uom.link/pgr-apply-2425 Number of positions: 1 Open to: UK This 3.5 year project is
-
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
-
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
-
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
-
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
-
, 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
-
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
-
Biology, Physics, Applied Mathematics, Computer Science, Bioengineering, Systems Biology or a related field. Proficiency in modelling using differential equations is required. Candidates must have
-
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