PhD Opportunity: Machine Learning Methods for Invariant Representations
Dear all, The *University of Bath* invites applications for a fully-funded PhD position in *Machine Learning*, as part of the prestigious *URSA competition*. This project focuses on developing *interpretable machine learning methods* for high-dimensional data, with an emphasis on recognizing symmetries and incorporating them into efficient, flexible algorithms. *Key Details* * *Supervisory Team*: Dr. Georgios Exarchakis & Prof. Michael Tipping * *Research Focus*: Interpretable and deep learning methods, feature learning, and invariant representations * *Applications*: Astronomy, quantum chemistry, medical imaging, computer vision, and more This PhD position offers the opportunity to work within 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. *Eligibility* 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. *Funding* 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 UniversityofBathPhDOpportunities <https://www.findaphd.com/phds/project/faculty-of-science-ursa-phd-project-ma...>, or send an email to Georgios Exarchakis at ge394@bath.ac.uk. Applications close on *December 6, 2024.* Best, Georgios* *
participants (1)
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Georgios Exarchakis