Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- Newcastle University
- The University of Manchester
- University of Birmingham
- Imperial College London;
- UCL
- University of Sheffield
- University of Warwick
- University of Warwick;
- University of Cambridge
- University of East Anglia
- University of Surrey
- Loughborough University
- Loughborough University;
- The University of Edinburgh
- University of Birmingham;
- University of Cambridge;
- University of East Anglia;
- University of Oxford
- AALTO UNIVERSITY
- Bangor University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- Newcastle University;
- Swansea University;
- UNIVERSITY OF VIENNA
- University of Exeter
- University of Exeter;
- University of Oxford;
- University of Sheffield;
- ;
- Edinburgh Napier University;
- European Magnetism Association EMA
- King's College London Department of Engineering
- Kingston University
- Swansea University
- The University of Manchester;
- University of Bristol
- University of Bristol;
- University of Leeds
- University of Leeds;
- University of Manchester
- University of Newcastle
- University of Nottingham;
- University of Surrey;
- University of Sussex
- jobs.ac.uk
- 38 more »
- « less
-
Field
-
, please select ‘Loughborough’ and select Programme ‘Mechanical and Manufacturing Engineering’. Please quote the advertised reference number * CSC-26-WS * in your application under the ‘Finance’ section
-
PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
-latency, and scalable operation in aerial 6G networks. In this regard, Large Language Models (LLMs) have recently emerged as a key technology to achieve adaptive 6G spectrum management. The core idea of LLM
-
devices for medical imaging and reaction monitoring, as well as for the development of sustainable photocatalysts. In this role you will develop machine learning (ML)-accelerated quantum mechanics in
-
and AMR markers. By integrating plasmonic signal amplification using gold nanostars with a power-free electrokinetic focusing mechanism, the device will enable early-stage detection without the need
-
related discipline. This project would suit a candidate with a background in mechanical, control or aerospace engineering, physics, mathematics, or other relevant engineering/science degree. The ideal
-
. The potential of lithium extraction from brine and seawater, integration with renewable energy sources make this technology promising for low-cost and decarbonized lithium production. However, ceramic membranes
-
. These payments are set at a level determined by the UKRI, currently £20,780 for the academic year 2025/26. Specific requirements of the candidate Essential Criteria BEng/BSc/MSc in Mechanical Engineering, Applied
-
such as, but not limited to, chemical, pharmaceutical, biochemical, or mechanical engineering; pharmaceutical sciences; materials science; or related areas. Applicants from computer science with relevant
-
engines, alternative fuels, combustion optimisation, and powertrain control. As the automotive industry transitions towards electrification, integrating novel fuels—such as hydrogen, ammonia, e-fuels, and
-
to increase each year. The start date is October 2026. As the aviation and power generation sectors move towards decarbonisation, gas turbine manufacturers are developing hydrogen-fuelled engines. However