Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Exeter
- Harper Adams University
- University of Birmingham;
- University of Birmingham
- ;
- Swansea University
- The University of Manchester
- University of Cambridge
- University of Newcastle
- Imperial College London
- Loughborough University
- Newcastle University
- Swansea University;
- The University of Edinburgh;
- The University of Manchester;
- UNIVERSITY OF VIENNA
- University of East Anglia
- University of East Anglia;
- University of Oxford
- University of Oxford;
- Cranfield University;
- Imperial College London;
- KINGS COLLEGE LONDON
- King's College London
- Lancaster University;
- Northumbria University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Bristol
- University of Exeter;
- University of Glasgow
- University of Hull;
- University of Leeds;
- University of Manchester
- University of Nottingham
- University of Roehampton;
- 26 more »
- « less
-
Field
-
behaviour in a practical, real-time monitoring system requires advances in both sensor engineering and behavioural data interpretation. This PhD project aims to develop a next generation environmental
-
control engineering and/or numerical optimisation Interest in embedded systems or real-time autonomous applications Programming experience in a compiled language (e.g. C, C++, Rust) Application Procedure
-
We invite applications for a fully funded PhD studentship (3.5 years) hosted by the University of Birmingham and conducted in collaboration with the UK Met Office. This project is ideal for
-
Project details: Global Navigation Satellite Systems (GNSS) support a wide range of applications, from smartphone navigation to autonomous vehicles. The global GNSS market is substantial, with
-
processing, advanced materials characterisation, control and bio-inspired materials/structures. The outcomes will contribute to the development of next-generation autonomous systems, advancing embedded sensing
-
chronic monitoring and facilitate seamless integration into dynamic neuromodulation systems for closed-loop therapeutic interventions. By leveraging graphene’s exceptional electrochemical properties with
-
Funding: For eligible students the studentship will cover home tuition fees plus an annual tax-free stipend. About the Partnership This project is one of a number that are in competition for funding
-
About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
-
Supervisor(s) 1) Professor James Gilbert, University of Hull 2) Dr Hatice Sas, University of Sheffield Increasing productivity and yield in the manufacture of wind turbine blades is a key priority
-
About the Partnership This project is one of a number that are in competition for funding from the NERC Great Western Four+ Doctoral Training Partnership (GW4+ DTP). The GW4+ DTP consists