Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- Cranfield University
- University of Nottingham
- ; Swansea University
- ; The University of Manchester
- ; University of Birmingham
- University of Sheffield
- University of Cambridge
- ; University of Southampton
- ; University of Warwick
- ; Newcastle University
- ; University of Bristol
- ; University of Surrey
- ; Cranfield University
- ; University of Exeter
- ; City St George’s, University of London
- ; The University of Edinburgh
- ; University of Nottingham
- ; University of Reading
- ; University of Sheffield
- AALTO UNIVERSITY
- University of Newcastle
- ; Loughborough University
- Imperial College London
- ; Brunel University London
- ; University of Cambridge
- ; University of Oxford
- University of Manchester
- ; EPSRC Centre for Doctoral Training in Green Industrial Futures
- ; Manchester Metropolitan University
- ; University of East Anglia
- ; University of Greenwich
- ; University of Leeds
- ; University of Plymouth
- ; University of Strathclyde
- Abertay University
- Harper Adams University
- UNIVERSITY OF VIENNA
- University of Oxford
- ; Aston University
- ; Coventry University Group
- ; Durham University
- ; Imperial College London
- ; Lancaster University
- ; Royal Northern College of Music
- ; St George's, University of London
- ; UCL
- ; University of Bradford
- ; University of Stirling
- ; University of Sussex
- Aston University
- Durham University
- Heriot Watt University
- Newcastle University
- UNIVERSITY OF MELBOURNE
- University of Glasgow
- University of Liverpool
- 47 more »
- « less
-
Field
-
AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
placement with Rolls-Royce. The research focuses on AI-driven digital twins, using large language models and knowledge graphs for predictive maintenance in aerospace systems. Aerospace systems generate vast
-
will contribute to the field by: Developing a conversational AI interviewer capable of conducting real-time adaptive interviews. Building an automated candidate ranking model based on interview
-
process conditions. Furthermore, this research will focus on the development of a model, allowing for virtual testing and optimisation of the chemical recycling process. This includes potential
-
for household who stay indoors, and to prepare for emergency responses. Possible quantitative methodologies include concurrent time-series analysis of outdoor and indoor environment data, prediction model
-
necessitate regular in-person sessions in North Tyneside, and some local travel. The post holder will be required to hold/undergo an enhanced DBS check. Informal enquiries are welcome. Please contact Dr Vic
-
how variations in mould structure, porosity, and surface characteristics affect radiative heat transfer and casting performance. Phase-field modelling will also be used to simulate defect formation and
-
models used in component scale CFD assessments. In particular, this concerns quantifying the effects of the heat transfer surface’s detailed topography, porosity and wettability on near-wall bubble
-
community-led model. Investigate how knowledge is co-created and used across different scales (individual, organisational, systems). Compare the Isles of Scilly CRN with eight other CRNs across the UK, each
-
modelling to provide a robust framework for integrating nature-based solutions into SO management. This can alleviate the pressure on treatment infrastructure and reduce dependence on grey infrastructure
-
recovery in critical applications, including aerospace, healthcare, and industrial automation. Research Focus Areas: Predictive Analytics for Fault Detection: Develop AI models that predict potential system