Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- University of Nottingham
- ; Swansea University
- AALTO UNIVERSITY
- The University of Manchester
- University of Cambridge;
- University of Sheffield
- ;
- ; City St George’s, University of London
- ; Cranfield University
- ; Loughborough University
- ; The University of Edinburgh
- ; The University of Manchester
- KINGS COLLEGE LONDON
- University of Cambridge
- University of Newcastle
- University of Surrey
- ; Aston University
- ; Newcastle University
- ; University of Birmingham
- ; University of Cambridge
- ; University of Exeter
- ; University of Nottingham
- ; University of Sheffield
- ; University of Southampton
- Abertay University
- Brunel University London
- Coventry University Group;
- Imperial College London
- Newcastle University
- The University of Edinburgh
- UNIVERSITY OF VIENNA
- UWE, Bristol
- University of Birmingham
- University of Bristol
- University of Greenwich
- University of Strathclyde;
- University of Warwick;
- 28 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
-
such as SHACL (Shapes Constraint Language), the NCT3TA reference model, and standards like HISO 100xx and ISO/IEC 11179-xx. Prior experience with these tools is not required—training will be provided
-
prognostic models for filter degradation. Integrated Drive Generator (IDG) Rig: Simulates the operation of an aircraft's IDG, used to investigate fault detection, diagnostics, and prognostics in power
-
the solidarity and cooperation within and between democratic countries. There have been concerns about the use of Generative AI and Large Language Models (LLMs) as tools for the dissemination of disinformation and
-
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
-
in healthcare service and opportunities for identification of such deviations using computer vision approaches. It will demonstrate how deviation data can be used in computer-based simulation models
-
for specific questions. For more information about the School of Computing, please click here To apply, please complete an online application and upload a plain text copy of your CV (2 pages) and covering letter
-
of mechanical and robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the–loop •Background with relevant
-
/or dynamic analysis of mechanical/robotic systems •Ability to use finite element modelling and to simulate complex mechatronics •Ability to implement control and kinematics with hardware-in-the-loop