Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; The University of Manchester
- ; Loughborough University
- ;
- ; Cranfield University
- ; University of Southampton
- Abertay University
- ; Aston University
- ; Durham University
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; University of East Anglia
- ; University of Leeds
- ; University of Oxford
- ; University of Reading
- ; University of Sheffield
- ; University of Surrey
- ; University of Warwick
- Imperial College London
- Newcastle University
- University of Newcastle
- University of Sheffield
- 12 more »
- « less
-
Field
-
research identifies an active and growing research field, with numerous advancements in the past 18 months. A focus on generative AI agents has progressed capabilities towards exploiting zero-day
-
, including high throughput experimentation, programming (e.g. in LabView, Matlab) and numerical modelling. They will be joining a thriving, inclusive Chemistry department with excellent facilities
-
models offer a powerful means to understand stroke mechanisms, predict treatment outcomes, and personalize patient care. By integrating numerical techniques like the finite element method and machine
-
and heat transfer in geothermal systems under high-pressure and high-temperature conditions relevant to AGS. • Developing high-fidelity direct numerical simulation (DNS) models to map
-
systems of differential equations. The resulting models will be analysed with analytical tools from applied mathematics and numerical studies in the Julia programming language. The successful candidate
-
of the infrastructure, design and execution of large‑scale measurement campaigns, and development of data‑driven models for room acoustics and spatial‑audio. The specific research direction will be finalised after
-
-frequency Joule losses. Litz wire is one of the most promising solutions due to its exceptional ability to reduce AC losses and boost power density. Today's modelling tools are not yet equipped to fully
-
alongside numerical simulations relying on high-performance computing and reduced order modelling. We aim to gain new insights about the physical coherent structures which are most relevant to viscoelastic
-
) or Direct Numerical Simulation will remain computationally prohibitive for at least several decades. Instead, porous media approximations provide a practical alternative by treating the pebble bed as an
-
will lead the development of novel motor topologies optimised for this cutting-edge material. Supported by experienced supervisors, the student will be able to design, model, and validate working