223 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- The University of Manchester
- Newcastle University
- University of Exeter
- University of Warwick
- Loughborough University;
- University of Birmingham
- University of Surrey
- University of Plymouth
- University of Surrey;
- ;
- Manchester Metropolitan University;
- Northeastern University London
- University of Nottingham;
- Swansea University
- UNIVERSITY OF VIENNA
- University of Birmingham;
- University of East Anglia
- University of East Anglia;
- University of Exeter;
- University of Leeds
- University of Sheffield
- Imperial College London
- Manchester Metropolitan University
- Swansea University;
- The University of Edinburgh;
- University of Bradford;
- University of Bristol
- University of Liverpool
- University of Liverpool;
- University of Oxford
- University of Westminster;
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- De Montfort University;
- Harper Adams University
- Imperial College London;
- King's College London
- King's College London;
- London School of Economics and Political Science;
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- Newcastle University;
- Oxford Brookes University;
- The Open University
- The Open University;
- The University of Manchester;
- UCL
- UCL;
- UNIVERSITY OF MELBOURNE
- UWE, Bristol
- UWE, Bristol;
- Ulster University
- University of Bath;
- University of Cambridge
- University of Cambridge;
- University of Essex
- University of Greenwich
- University of Lincoln
- University of Newcastle
- University of Oxford;
- University of Warwick;
- University of Westminster
- University of York;
- 56 more »
- « less
-
Field
-
, robotics, and machine learning. You will work within a multidisciplinary supervisory team spanning engineering, robotics, and computer science, and collaborate with researchers working on real-world
-
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
-
, or even months to derive a suitable hardware model. This limitation is only exaggerated when considering the digital representation of multicore computer systems, requiring the modelling of a broad range of
-
the gallery. Set up ‘to inspire a lifelong love of art and learning’, TOP has worked with thousands of children to date: this offers a rich dataset to help better understand the evolution of the programme and
-
filled The overarching aim of this project is to find synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application
-
results is desirable. To be considered for this PhD, please follow the instructions here: https://www.centre-ub.org/studentships/application-process/ Application deadline: February 17 2026 Interviews
-
simulation results with experimental data. This project will integrate advanced AI techniques, including machine learning for parameter optimisation (e.g., Bayesian optimisation, reinforcement learning), AI
-
. This PhD project aims to create advanced XCT workflows by developing Artificial Intelligence (AI) and Machine Learning (ML) tools to support imaging before the reconstruction phase. The research will focus
-
, and space hardware. This PhD research aims to develop a comprehensive Mode Selection Framework for Reduced Order Modelling (ROM) in Structural Dynamics—using machine learning to build robust
-
with NEOM, one of the world’s largest ecological restoration programmes, the project will develop machine-learning approaches to analyse satellite observations of vegetation change and evaluate large