Connectionists: PhD Studentship - AI for Super-Resolution Microscopy

Alexandra Psarrou A.Psarrou1 at westminster.ac.uk
Sat Feb 7 16:36:28 EST 2026


PhD Studentship  - AI for Super-Resolution Microscopy

School of Computer Science & Engineering - University of Westminster (London) & the Science and Technology Facilities Council (STFC) at the Rutherford Appleton Laboratory (RAL) in Didcot, Oxfordshire (UK)

Deadline, 30 March 2026


This studentship provides a rare opportunity to work across two complementary environments. At UoW’s School of Computer Science and Engineering, you will join a strong research community with expertise in deep learning, imaging, and scientific computing, alongside access to extensive training and academic networks. At RAL, one of the UK’s world-class national laboratories, you will work with advanced super-resolution microscopy facilities (with Professor Lin Wang) and benefit from immersion in multidisciplinary research, high-performance computing, and direct interactions with experts in AI for Science, computational imaging, and large-scale experimental methods (with Professor Jeyan Thiyagalingam).

Project overview
Modern life sciences increasingly rely on the ability to observe molecular events inside living cells. Many interactions take place at nanometre scales, far beyond the limits of conventional optical microscopes. Although advanced super-resolution microscopy techniques exist, they often require intense illumination that damages cells or limits real-time imaging.

This PhD project aims to address these barriers by developing AI-driven methods for fluorescence fluctuation super-resolution microscopy (FF-SRM), with a particular focus on the emerging Super-Resolution Radial Fluctuations (SRRF) approach. The objective is to build machine-learning models that exploit the underlying physics of fluorescence fluctuations to deliver high-resolution, low-toxicity, real-time imaging of living cells.

For further information about the scholarship and how to apply, please see the link below:
https://lnkd.in/etXH4hPn

For enquiries, please contact:
Dr Alexandra Psarrou - e: a.psarrou1 at westminster.ac.uk<mailto:a.psarrou1 at westminster.ac.uk>
Dr Fang He - e: f.he at westminster.ac.uk<mailto:f.he at westminster.ac.uk>

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Dr Alexandra Psarrou
Assistant Head of Graduate School
Office hours, Tuesdays 2pm-4pm - Online<https://teams.microsoft.com/l/meetup-join/19%3ameeting_ZmYwOTY3MjItNTk0MC00MTBjLWI1MzQtMGFmYzQxMjY5MDUz%40thread.v2/0?context=%7b%22Tid%22%3a%22bb3c97ff-11b5-4b37-92cf-1897b2d8766b%22%2c%22Oid%22%3a%22261ba06d-ee4c-455e-870f-4487144d07f4%22%7d>, via Teams



Reader in Computational Vision,

School of Computer Science and Engineering

College of Design, Creative and Digital Industries

University of Westminster, 115 New Cavendish Street,

London, W1W 6UW




The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW.

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