At a Glance
- Tasks: Lead the development of AI/ML algorithms for medical image analysis.
- Company: University of Southampton's Department of Physics & Astronomy, known for its collaborative culture.
- Benefits: Flexible working options, generous maternity policy, and onsite childcare facilities.
- Other info: Join a diverse team committed to equality and inclusion in research.
- Why this job: Make a real impact on healthcare diagnostics while advancing your technical skills.
- Qualifications: Strong background in computer science, Python expertise, and experience with ML/AI technologies.
The predicted salary is between 35000 - 45000 £ per year.
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.
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.
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.
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).
Research Fellow in Research Software Engineering in Southampton employer: University of Southampton
The University of Southampton's Department of Physics & Astronomy is an exceptional employer, offering a collaborative and inclusive work culture that prioritises equality, diversity, and inclusion. As a Research Fellow in Research Software Engineering, you will have the opportunity to contribute to groundbreaking medical research while enjoying flexible working arrangements and access to generous benefits, including a robust maternity policy and onsite childcare facilities. This role not only allows for personal and professional growth but also positions you at the forefront of innovative advancements in healthcare diagnostics.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow in Research Software Engineering in Southampton
✨Tip Number 1
Network like a pro! Reach out to folks in the Astronomy Group or related fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects, make sure to highlight them during interviews. Bring examples of your work with Python and ML/AI technologies to the table.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of medical image analysis and be ready to discuss how your experience aligns with the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team.
We think you need these skills to ace Research Fellow in Research Software Engineering in Southampton
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your experience with Python and ML/AI technologies, especially in image processing. We want to see how your skills align with our project goals, so be specific about your past projects and their impact.
Tailor Your CV:Don’t just send a generic CV! Tailor it to showcase your relevant experience and qualifications for the Research Fellow role. Include any practical experience and projects that demonstrate your expertise in medical diagnostics and software engineering.
Combine Documents into One PDF:When applying, remember to upload your cover letter and CV as one single PDF file. This makes it easier for us to review your application, so don’t forget this important step!
Provide Strong Referees:Make sure to include the contact details of two referees who can vouch for your skills and experience. Choose people who know your work well and can speak to your abilities in research software engineering or related fields.
How to prepare for a job interview at University of Southampton
✨Know Your Algorithms
Make sure you brush up on the algorithms related to medical image analysis and machine learning. Be ready to discuss how you've applied these in your past projects, as this will show your practical experience and understanding of the field.
✨Showcase Your Python Skills
Since Python is a key requirement for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain your code from previous projects, so have examples ready that highlight your proficiency.
✨Prepare for Technical Questions
Expect technical questions that dive deep into AI/ML concepts, especially those relevant to image processing. Review common interview questions in this area and think about how you can relate your answers to the work done at the University of Southampton.
✨Emphasise Collaboration and Diversity
The Astronomy Group values collaboration and diversity, so be prepared to discuss how you've worked in diverse teams and contributed to inclusive environments. Share specific examples that reflect your commitment to these values.
