Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Manchester
- AALTO UNIVERSITY
- University of Nottingham
- ; Swansea University
- University of Cambridge
- University of Cambridge;
- ; Cranfield University
- ; Loughborough University
- ; The University of Edinburgh
- ; The University of Manchester
- ; University of Exeter
- Imperial College London
- KINGS COLLEGE LONDON
- University of Newcastle
- University of Surrey
- ;
- ; Aston University
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- ; University of Strathclyde
- Newcastle University
- The University of Manchester
- UNIVERSITY OF VIENNA
- University of Birmingham
- University of Bristol
- University of Exeter;
- University of Greenwich
- University of Hertfordshire
- University of Sheffield
- University of Strathclyde;
- University of Warwick;
- 26 more »
- « less
-
Field
-
. The project offers a rare mix of theoretical development, simulation-based research, and experimental validation, supported by advanced testbeds and datasets. Students will also be encouraged to present results
-
Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
-
both homogenous and heterogenous catalytic conversion, including the handling, testing and characterizing the catalysts as well as the reactor and process simulation and analysis. Details will be
-
, process stability, and the downstream consolidation and performance of remanufactured composites. This fully-funded PhD project fits within a wider research programme with industrial partners and an
-
relevance. A digital twin framework for safe, simulation-based validation before deployment in operational wind farms. Develop explainable AI (XAI) frameworks and human-computer interfaces that enable wind
-
simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
-
, while simulations are subject to error due to uncertainty in nuclear data and unresolved physical processes e.g. thermal expansion and fine-scale inhomogeneities. Generating independent simulation
-
the areas of fluid dynamics, turbulence and net-zero combustion. There is substantial scope for the student to direct the project with the main focus on (i) Generating an advanced Direct Numerical Simulation
-
consideration. Applications will continue to be processed and reviewed following this date until the position is filled, but candidates are encouraged to apply as soon as possible. Please write your application
-
- skills – experience: analytical skills, ability to demonstrate good knowledge in system modelling – simulation, (classical or modern) control theories or control applications with evidence Desirable