Overview
The Astronomy Group of the University of Southampton's Department of Physics & Astronomy is inviting applications for a Research Software Engineer or a Research Fellow with AI/ML background. This role is central to an MRC funded project aimed at enhancing medical diagnostics through the application of machine learning and artificial intelligence. In this capacity, you will lead the development of algorithms to improve the accuracy and efficiency of medical image analysis, contributing significantly to the creation of innovative diagnostic solutions.
Qualifications
We are looking for candidates with a strong background in computer science or a related field, who have demonstrated expertise in Python and a solid history of working with ML/AI technologies, especially in image processing. A PhD is preferred, but we also highly value practical experience and a portfolio of relevant projects.
Additional Information
This position offers the chance to apply your technical skills to impactful medical research, providing a unique opportunity to contribute to the advancement of healthcare diagnostics.
The position is available from May 15th 2026 on a full‑time basis but flexible working will be considered. The post is for 12 months and must be started no later than September 1st 2026. The post may be extended depending on performance and funding availability.
The Southampton Astro-group provides a stimulating and collegial environment with many opportunities to collaborate with other group members.
Equality, Diversity and Inclusion is central to the ethos in Physics and Astronomy. We are strongly committed to diversity in both the academic and student population, and in recognition we were awarded an Athena SWAN Silver award in 2018 and the Institute of Physics Project Juno Champion status in 2019. Physics and Astronomy gives full consideration to applicants that wish to work flexibly, including part-time, and due consideration will be given to applicants who have taken a career break. The University has a generous maternity policy**, and onsite childcare facilities. For further information please visit https://www.phys.soton.ac.uk/EqualityandDiversity
Applications should consist of a cover letter and a CV. Please upload all documents as one pdf file. Moreover, the contact details of two referees must be provided on the application.
Informal inquiries are particularly welcome. Please contact Prof. Diego Altamirano (d.altamirano@soton.ac.uk) and Dr. Mehtap Ozbey Arabaci (m.ozbey-arabaci@soton.ac.uk).
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