382 machine-learning-"https:" "https:" "https:" "https:" "https:" "The University of Edinburgh" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- The University of Manchester
- Cranfield University
- Newcastle University
- University of Birmingham
- University of Warwick
- University of Exeter
- University of Birmingham;
- Imperial College London
- Loughborough University;
- UNIVERSITY OF VIENNA
- University of Cambridge
- University of Sheffield
- University of Cambridge;
- University of Strathclyde
- Swansea University
- University of Bristol
- University of East Anglia
- University of Surrey
- King's College London
- University of Leeds
- University of Nottingham;
- University of Surrey;
- Manchester Metropolitan University;
- Northeastern University London
- UCL
- University of Exeter;
- The Open University
- The University of Manchester;
- University College London
- University of East Anglia;
- University of Newcastle
- University of Oxford
- University of Plymouth
- University of Westminster;
- ;
- AALTO UNIVERSITY
- Lancaster University
- Manchester Metropolitan University
- Newcastle University;
- Oxford Brookes University
- Oxford Brookes University;
- Royal College of Art
- Swansea University;
- The University of Edinburgh
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Liverpool
- University of Liverpool;
- University of Strathclyde;
- University of Sussex
- University of Warwick;
- Abertay University
- Brunel University
- Brunel University London
- Brunel University London;
- Cardiff University
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- Edge Hill University
- Harper Adams University
- Imperial College London;
- King's College London;
- London School of Economics and Political Science;
- Loughborough University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University;
- The University of Edinburgh;
- UCL;
- UNIVERSITY OF MELBOURNE
- UWE, Bristol
- University of Bath;
- University of Essex
- University of Essex;
- University of Greenwich
- University of Hertfordshire
- University of Oxford;
- University of Sheffield;
- University of Strathclyde (UOS)
- University of Westminster
- University of York;
- jobs.ac.uk
- 76 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Economics
- Biology
- Chemistry
- Materials Science
- Mathematics
- Arts and Literature
- Linguistics
- Electrical Engineering
- Humanities
- Psychology
- Science
- Business
- Education
- Law
- Physics
- Social Sciences
- Sports and Recreation
- Earth Sciences
- Philosophy
- 12 more »
- « less
-
information from the Doctoral College website: https://www.herts.ac.uk/research/research-degrees-and-doctoral-college Interviews will take place: April 2026 (exact dates TBC) For informal enquires please email
-
, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
-
(Master / PhD / Postdoc). Our expertise lies in quantum foundations, quantum information theory and quantum technologies. For additional information, please visit: https://dakic.univie.ac.at/ . Your future
-
emphasis on developing the payload for the ESTCube-LuNa mission. Building on previous demonstrations such as ESTCube-1, ESTCube-2, and Foresail-1p, the project aims to apply lessons learned to create a more
-
framework integrating physics-informed machine learning, scenario generation, and human-in-the-loop preference-based reinforcement learning to prioritise climate-robust and equity-aligned interventions
-
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
-
programming (e.g., Python/C++), machine learning frameworks, or robotics software environments such as ROS. You are motivated to work in a multi-disciplinary research environment combining engineering, AI, and
-
training programme at the start of the PhD to develop skills in areas such as programming, data analysis, machine learning and signal processing. This will provide the technical foundation required to work
-
network integration for emerging low-energy opto-electronic AI systems and beyond. The challenge: Machine learning and neural networks are super-charging the complexity of problems that computer algorithms
-
bespoke methods – including advanced data modelling approaches (e.g., machine learning, digital twin models) and AI techniques where appropriate – to provide novel solutions that enable sports to make