Fully-funded PhD Position in Machine Learning Methods for Invariant Representations at University of Bath
Apply for a fully-funded PhD position in Machine Learning at University of Bath. The project focuses on developing interpretable machine learning methods for high-dimensional data. The supervisory team includes Dr. Georgios Exarchakis and Prof. Michael Tipping. The research focus is on interpretable and deep learning methods, feature learning, and invariant representations. Applications include astronomy, quantum chemistry, medical imaging, computer vision, and more. This PhD position offers the opportunity to work in a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving. Applicants should have a strong academic background in Mathematics, Physics, Computer Science, or related fields. A master’s degree is advantageous. Non-UK applicants must meet the English language requirements. The studentship covers tuition fees, a stipend of £19,237 p.a., and access to a training support budget for 3.5 years. For more information and details on how to apply, visit
The University of Bath invites applications for a fully-funded PhD position in Machine Learning as part of the prestigious URSA competition. The project focuses on developing interpretable machine learning methods for high-dimensional data, with an emphasis on recognizing and incorporating symmetries into efficient, flexible algorithms. The supervisory team includes Dr. Georgios Exarchakis and Prof. Michael Tipping. The research focus is on interpretable and deep learning methods, feature learning, and invariant representations. Applications include astronomy, quantum chemistry, medical imaging, computer vision, and more. This PhD position offers the opportunity to work in a leading research environment, using state-of-the-art tools such as TensorFlow, PyTorch, and Scikit-Learn. The research outcomes have potential applications in diverse fields, and students are encouraged to bring creative and interdisciplinary approaches to problem-solving. Applicants should have a strong academic background in Mathematics, Physics, Computer Science, or related fields (First Class or Upper Second Honours or equivalent). A master’s degree is advantageous. Non-UK applicants must meet the English language requirements. The studentship covers tuition fees, a stipend of £19,237 p.a, and access to a training support budget for 3.5 years.
Tags: PhD Position, Machine Learning, Invariant Representations, University of Bath, URSA competition, Fully Funded, Interpretable Machine Learning Methods, High-Dimensional Data, Feature Learning, Symmetries, TensorFlow, PyTorch, Scikit-Learn