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We have 711 machine PhD Projects, Programmes & Scholarships

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machine PhD Projects, Programmes & Scholarships

We have 711 machine PhD Projects, Programmes & Scholarships

Advancing Explainable Artificial Intelligence

There have been significant recent advances in the effectiveness of machine intelligence systems based upon neural networks, deep learning, and machine learning techniques. Read more

Machine learning the dynamics of force-sensing proteins

Mechanosensing proteins detect mechanical forces within cells and convert them into biochemical signals. Understanding the dynamic behaviour of these proteins under force is key for advancing our understanding of this process called mechanotransduction. Read more

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Using machine learning to evaluate atomic force microscopy nanoindentation data

The University of Southampton is expanding its PhD research in the area of medical data analysis. We aim to implement machine learning to analyse atomic force microscopy nanoindentation data towards automated diagnosis of cancer biopsies. Read more

Connections between Numerical Analysis of Differential Equations and Machine Learning

Up to two funded PhD projects are available in the Department of Mathematics at the University of Manchester on Connections between Numerical Analysis of Differential Equations and Machine Learning. Read more

Space Trajectory Classification using Machine Learning

Supervisory Team: Dr Alexander Wittig, Dr Davide Amato (external, from Imperial). Project description. Interest in more complex dynamics of space trajectories beyond perturbed Keplerian dynamics is rapidly growing. Read more

Machine learning assisted optimization techniques for fitting excitonic spin-orbit models to big data

A PhD studentship is available in the group of Chris Stock (School of Physics and Astronomy, The University of Edinburgh in collaboration with Russell Ewings (STFC-ISIS) and Bo Liu (University of Glasgow School of Electrical Engineering). Read more

Machine Learning Assisted Feedback for Engineering Drawing Assessments

Assessment of engineering drawings can be a complex and lengthy task which causes delay in getting feedback to students. The provision of constructive, relevant and timely feedback is essential to student learning. Read more

Machine Learning and Hyper-heuristics

Hyper-heuristics (HH) have been successfully used to solve combinatorial problems from different problem domains, such as vehicle routing, bin packing and constraint satisfaction problems. Read more

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