Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- ; The University of Manchester
- ; University of Warwick
- University of Nottingham
- University of Sheffield
- ; Cranfield University
- ; Newcastle University
- ; Swansea University
- ; University of Birmingham
- ; University of Oxford
- ; University of Sheffield
- ; University of Surrey
- ; University of Exeter
- ; University of Greenwich
- ; University of Reading
- ; University of Southampton
- AALTO UNIVERSITY
- Abertay University
- University of Cambridge
- University of Newcastle
- ; Queen Mary University of London
- ; The University of Edinburgh
- ; UWE, Bristol
- ; University of Nottingham
- ; University of Plymouth
- ; University of Sussex
- Newcastle University
- 18 more »
- « less
-
Field
-
to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers
-
limits map which describes the performance of a turbine wheel with respect to the microstructure through simulation and empirical testing. The aim of the project is to develop a modelling and simulation
-
& environmental risk assessment. Numerical simulation techniques for hydrogeological systems. Advanced uncertainty quantification for robust modeling. Scientific communication, including publications & conference
-
Current modelling and simulations require either generic assumptions to be made for fluid dynamic based modelling leading to inaccuracies between modelled and experimental data or, intense
-
fluid dynamics (CFD) simulations, Finite Element Analysis, manage and execute the procurement of the build, run the aerothermal testing and process and communicate the results. The skills, qualifications
-
modelling and simulation techniques and software packages would be an advantage. Programming skills in languages such as Python, C++, MATLAB, are desirable, as is an awareness of machine learning or other AI
-
to High-Fidelity Simulations – The project will use OpenFAST, FAST.Farm, and Digital Twin simulations for AI model validation. The student will have the opportunity to join a vibrant community and team
-
will also use finite volume-based numerical simulations and (if desired by the student) mathematical modelling. You will work alongside other researchers within the Fluid Dynamics Research Centre
-
within the energetics field. Whilst many reactive burn models have been developed to simulate this behaviour, they are generally designed for ideal explosives and are mostly engineering models fitted
-
simulations, exploring novel aspects of numerical modelling and expanding the computational mechanics capabilities of the group. This project offers the opportunity to join a vibrant research group and