340 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- University of Birmingham
- Newcastle University
- University of Warwick
- University of Birmingham;
- University of Sheffield
- Loughborough University;
- Imperial College London
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Exeter
- University of Bristol
- ;
- Manchester Metropolitan University;
- The University of Manchester;
- University of East Anglia
- University of Strathclyde
- University of Surrey
- Newcastle University;
- Northeastern University London
- Swansea University
- UCL
- University College London
- University of Cambridge;
- University of Leeds
- University of Surrey;
- Swansea University;
- The Open University
- University of East Anglia;
- University of Exeter;
- University of Westminster;
- King's College London
- Lancaster University
- Manchester Metropolitan University
- Oxford Brookes University;
- Royal College of Art
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Nottingham;
- University of Plymouth
- University of Strathclyde;
- University of Sussex
- Abertay University
- Brunel University London;
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- King's College London;
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Oxford Brookes University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University;
- The University of Edinburgh;
- UCL;
- UWE, Bristol
- University of Essex
- University of Greenwich
- University of Hertfordshire
- University of Oxford
- University of Oxford;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Warwick;
- University of Westminster
- University of York;
- jobs.ac.uk
- 64 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Chemistry
- Biology
- Materials Science
- Arts and Literature
- Mathematics
- Electrical Engineering
- Linguistics
- Psychology
- Science
- Business
- Humanities
- Education
- Law
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Philosophy
- Physics
- 12 more »
- « less
-
the noise associated with near-term quantum devices. This in turn offers an exciting new dataset from which it will be possible to use machine learning to train a more accurate functional for use in density
-
About the project: From Brittle to Ductile: Machine Learning 3D Fracture Simulations for Extreme Environments Supervisor: Prof, James Kermode, University of Warwick Develop cutting-edge machine
-
PhD studentship Family and environmental influences on children’s home learning, and inequalities in education and mental health outcomes Supervisory Team Dr Rebecca Lacey (rlacey
-
AHRC Collaborative Doctoral Partnership (CDP) studentship: Histories of Pollution in the Urban Art Museum, c. 1840–1900 (UCL and The National Gallery) Applications accepted until 4 May 2026
-
). The project investigates how machine learning (ML) can be used to enhance the modelling of boundary layers in industrial CFD simulations, where complex geometries and computational constraints limit near-wall
-
About the project: Supervisor: Professor Nicholas Hine, University of Warwick This project uses cutting-edge computational and machine learning methods to accelerate catalyst discovery for fuel cell
-
A Human-Factors Investigation of Automation, Decision-Support and Machine Learning in Clinical Decision-Making Tasks. This PhD project is based within the Human Factors Research Group in the Faculty
-
administration and organisation. We are looking for a/an University assistant predoctoral/PhD Candidate Optical Quantum Computing and Machine Learning 51 Faculty of Physics Startdate: 01.02.2026 | Working hours
-
EPSRC ReNU+ CDT PhD Studentship: Physics-informed machine learning for deep geothermal systems under uncertainty. Award Summary 100% fees covered, and a minimum tax-free annual living allowance
-
within physically sensible design spaces avoiding the need to learn every pathological flow scenario and making machine learning both efficient and reliable. The ultimate goal is to retain the fidelity and