Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Cranfield University
- ;
- Newcastle University
- University of Nottingham
- University of East Anglia
- University of Birmingham;
- University of Exeter
- The University of Manchester
- University of East Anglia;
- University of Newcastle
- Loughborough University
- University of Exeter;
- University of Glasgow
- Imperial College London;
- The University of Edinburgh;
- University of Manchester
- University of Sheffield
- University of Surrey
- University of Warwick
- University of Warwick;
- AALTO UNIVERSITY
- KINGS COLLEGE LONDON
- King's College London
- Loughborough University;
- Queen's University Belfast
- Swansea University
- Swansea University;
- The University of Manchester;
- University College London
- University of Birmingham
- University of Bristol;
- University of Nottingham;
- University of Oxford
- Abertay University
- City St George’s, University of London
- Cranfield University;
- Lancaster University;
- Manchester Metropolitan University
- Nature Careers
- Newcastle University;
- Queen Mary University of London
- The Medicines And Healthcare Products Regulatory Agency;
- The Open University;
- UCL
- Ulster University
- University of Bradford;
- University of Cambridge;
- University of Hull
- University of Kent;
- University of Leeds
- University of Liverpool
- University of Oxford;
- University of Plymouth
- University of Plymouth;
- University of Southampton
- University of Strathclyde;
- University of Sussex
- 47 more »
- « less
-
Field
-
Join our thriving multidisciplinary community and deliver projects focused on the safety of AI. The Centre for Doctoral Training in Safe AI Systems (SAINTS CDT) is the UK’s first multidisciplinary
-
marine research for more than a century, and today it is home to the largest concentration of marine researchers in the UK. Come and join our vibrant community of marine PhD students. Project Description
-
. Exposure to neural-symbolic algorithms for transforming intent into conformant security or safety policy and/or enforcing security controls is optional but beneficial. Research will also give the opportunity
-
Project Supervisor - Dr Riaz Ahmed Shaikh The purpose of this research project is to explore how digital twin technology can enhance the efficiency, comfort, security, and privacy of smart homes. By
-
storm to use these technologies and/or visit the affected area to evaluate storm-related tree damage. Therefore, to support sales planning and the safety of foresters working in the field, there is a need
-
significantly enhance their capacity for self-management, leading to more reliable, efficient, and trustworthy systems in safety-critical and complex domains. On-the job research training for the Doctoral
-
Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
-
Join a fully funded, industry-sponsored PhD at the University of Nottingham (Mechanical & Aerospace Systems research group), in partnership with the Manufacturing Technology Centre (MTC). You will
-
year for consumables and travel. Funding from MTC requires passing their security checks before starting the PhD. Vision We are seeking a PhD student that is interested in robotics and automation
-
significantly enhance their capacity for self-management, leading to more reliable, efficient, and trustworthy systems in safety-critical and complex domains. On-the job research training for the Doctoral