204 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" PhD positions in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Nottingham
- Cranfield University
- Newcastle University
- The University of Manchester
- University of Warwick
- Loughborough University;
- University of Exeter
- University of Surrey
- Manchester Metropolitan University
- Manchester Metropolitan University;
- UNIVERSITY OF VIENNA
- ;
- Swansea University
- University of Leeds
- University of Sheffield
- Northeastern University London
- Swansea University;
- University of Birmingham
- University of East Anglia
- University of East Anglia;
- University of Surrey;
- Imperial College London
- Newcastle University;
- Oxford Brookes University;
- The University of Edinburgh
- The University of Manchester;
- UWE, Bristol;
- Ulster University
- University of Bradford;
- University of Bristol
- University of Cambridge
- University of Cambridge;
- University of Exeter;
- University of Nottingham;
- University of Oxford
- Cardiff University;
- City St George’s, University of London
- City St George’s, University of London;
- King's College London
- King's College London;
- Lancaster University
- Middlesex University;
- Midlands Graduate School Doctoral Training Partnership
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Open University
- The University of Edinburgh;
- UCL
- UCL;
- UWE, Bristol
- University of Bath;
- University of Birmingham;
- University of Essex
- University of Hull
- University of Liverpool
- University of Newcastle
- University of Oxford;
- University of Reading;
- University of Sussex;
- University of Warwick;
- University of Westminster
- University of Westminster;
- University of York;
- jobs.ac.uk
- 53 more »
- « less
-
Field
-
(csrankings.org) Home to world-leading research in computer vision, AI, multimodal learning, and robotics You will join a vibrant and tightly knit team of more than 10 other researchers working on a range of
-
within the climate change domain. The techniques are based on statistical and computational approaches, including machine learning algorithms. The project aims first to contribute to the prevention of fake
-
health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities
-
, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical expertise, enhancing their research capabilities and employability in
-
for research into thermal management and system health monitoring, supporting studies in military aircraft systems. Engaging with these facilities allows students to acquire practical skills and technical
-
of lightweight, logic-based machine learning approaches. In addition, agents must support collective decision-making to achieve system-wide optimisation rather than isolated, local improvements. Finally
-
AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
-
, adaptive control strategies, and hybrid energy storage solutions to address key challenges in self-powered systems under dynamic environmental conditions by: Develop machine learning or heuristic-based
-
and architectures that support efficient, secure, and scalable machine learning operations (MLOps) across resource-constrained environments for Edge AI. Ethical, and responsible FL for healthcare: In
-
- 2025 - Business Strategy and the Environment - Wiley Online Library Additive Manufacturing: A Comprehensive Review Big data, machine learning, and digital twin assisted additive manufacturing: A review