Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- ; The University of Manchester
- Cranfield University
- ; Swansea University
- University of Manchester
- University of Nottingham
- ; Loughborough University
- ; University of Warwick
- ; University of Birmingham
- University of Sheffield
- ; Cranfield University
- ; University of Oxford
- ; University of Exeter
- ; University of Sheffield
- ; University of Southampton
- AALTO UNIVERSITY
- Newcastle University
- University of Cambridge
- ; Brunel University London
- ; Edge Hill University
- ; Newcastle University
- ; University of Cambridge
- ; University of Nottingham
- ; University of Sussex
- Edge Hill University
- ; Anglia Ruskin University
- ; Queen Mary University of London
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Reading
- ; University of Surrey
- CZECH UNIVERSITY OF LIFE SCIENCES
- KINGS COLLEGE LONDON
- Loughborough University
- University of Glasgow
- University of Liverpool
- University of Newcastle
- 32 more »
- « less
-
Field
-
-combustion simulations High-fidelity turbulence simulations (Large Eddy Simulations ) to assess real-world PAC performance Training & Development The PhD student will receive comprehensive training in: Plasma
-
advanced simulation methods, including Reynolds-Averaged Navier-Stokes (RANS), Direct Numerical Simulations (DNS), and/or Large Eddy Simulations (LES), will be employed to accurately model the complex flow
-
the email: a downloaded copy of your application form. a cover letter/personal statement outlining your suitability. a full academic CV (maximum of three A4 pages, using size 12 font) which includes
-
one email to graduateschooladmissions@edgehill.ac.uk quoting the studentship reference and the project title, in the subject of the email: a downloaded copy of your application form. a cover letter
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
at scale? Digital twins offer a promising foundation, but to truly support engineering decisions, they need to go beyond simulation and begin to interpret and reason about the systems they represent
-
simulations, covering a range of typical part geometries and deposition strategies, complemented by experimental validation. • Developing an efficient method for converting partial surface temperature data
-
that simulates real-world environmental conditions to test the durability and longevity of these materials and products made thereof, is also required. This PhD project aims to investigate novel high-performance
-
on relevant targets. Simulation of plasma expansion and condensation in the space environment will be compared with experimental results using Magdrive's state-of-the-art vacuum and plasma diagnostic facilities
-
experiments; supporting other group members with data analysis and interpretation from both simulations and experimental data; and use the developed framework to design new materials with optimised performance
-
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