Connectionists: PhD Opportunity: Machine Learning Methods for Invariant Representations

[Georgios Exarchakis]

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-machine-learning-methods-for-invariant-representations-of-high-dimensional-data/?p175288>, 
or send an email to Georgios Exarchakis at ge394 at bath.ac.uk.

Applications close on *December 6, 2024.*


Best,

Georgios*
*
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