Sort by
Refine Your Search
-
Listed
-
Employer
- Cranfield University
- ;
- ; The University of Manchester
- University of Nottingham
- ; Newcastle University
- ; University of Cambridge
- ; University of Leeds
- ; University of Warwick
- ; Aston University
- ; Brunel University London
- ; Manchester Metropolitan University
- ; Swansea University
- ; UWE, Bristol
- ; University of Bristol
- ; University of East Anglia
- ; University of Essex
- ; University of Exeter
- ; University of Oxford
- ; University of Sheffield
- ; University of Southampton
- ; University of Surrey
- ; University of York
- Harper Adams University
- Newcastle University
- University of Cambridge
- 15 more »
- « less
-
Field
-
. These problems have been compounded by the emergence of Artificial Intelligence. New forms of algorithmic manipulation have been used to sow discord in democratic societies, undermine trust in politics, and erode
-
sustainability. The research will delve into power-aware computing strategies, thermal management, and the development of algorithms that balance performance with energy consumption. Students will aim to create
-
-critical systems. The research will focus on developing AI-powered verification tools, health monitoring algorithms, and compliance assurance techniques that ensure system reliability throughout
-
control laws into Trent gas turbine engines and developed algorithms monitoring fleets of 100s of engines flying all around the world. During the PhD, you will have the opportunity to deeply engage with
-
of advanced computational techniques. This research will integrate power system modelling, optimisation algorithms, and artificial intelligence (AI) techniques to develop an innovative framework for strategic
-
input needs, accompanied by a boost in algorithmic development, e.g., multi-modal learning, transfer learning, federate learning, and knowledge embedding, etc. However, a significant motivation of
-
algorithms, validated navigation architectures, and new insights into next-generation intelligent mobility solutions. The student will undertake two industry placements at Spirent, use high-tech simulation
-
. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
-
leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
-
abort (or not engage) if the bright white lines that fit a defined and rigid expectation are not clearly visible. These systems use algorithms, rather than AI machine learning, to detect road markings and