Postdoctoral Research Fellow in Medical Image Analysis

Grade UE07: £40,497 - £48,149 per annum, pro-rata if part-time

CMVM/Institute of Neuroscience and Cardiovascular Research

Full-time: 35 hours per week

Fixed-term: until 30 September 2029

 

 

The Opportunity:

The BHF Centre of Research Excellence in Edinburgh is funded by a five-year award from the British Heart Foundation to accelerate our science. By collaborating across disciplines and institutions, we will deliver bold discoveries and foster the next generation of research leaders. We now have a suite of new opportunities in our Centre, and are seeking people with the ideas and ambition to drive forward our work.

We seek a postdoctoral researcher to provide image analysis expertise and capability for a range of human and translational medical imaging modalities primarily in cardiovascular and neurological research studies, and to apply established analysis algorithms and develop improved or new algorithms including machine learning approaches to extract novel quantitative measures using tools such as MatLab or Python. The medical imaging modalities include structural and functional MRI, PET-CT, PET-MRI, total body PET, and CT including soon to be available photon-counting CT, of heart, brain, other organs and vasculature including atheromatous plaque. The fellow will work closely with clinicians, medical physicists, radiochemists, image analysts and acquisition staff and students in the Advanced Imaging Theme, linking with researchers in related Themes.

This post is full-time (35 hours per week); however, we are open to considering part-time or flexible working patterns. We are also open to considering requests for hybrid working (on a non-contractual basis) that combines a mix of remote and regular on-campus working.  

The salary for this post is £40,497 - £48,149 per annum.

 

Your skills and attributes for success: 

• Experience of computational analysis.
• Understanding of image analysis methods particularly as applied to cardiovascular and brain imaging.
• Expertise in statistical approaches and models, analytical techniques and methods.
• Ability to communicate complex information clearly, orally and in writing.

 

Click to view a copy of the full job description (opens new browser tab)

 

Application Information  

Please ensure you include the following documents in your application:

- CV

- Cover letter

 

As a valued member of our team you can expect:

• A competitive salary.
• An exciting, positive, creative, challenging and rewarding place to work. 
• To be part of a diverse and vibrant international community.
• Comprehensive Staff Benefits, such as a generous holiday entitlement, competitive pension schemes, staff discounts, and family-friendly initiatives. Check out the full list on our staff benefits page (opens in a new tab) and use our reward calculator to discover the total value of your pay and benefits. 

Championing equality, diversity and inclusion

The University of Edinburgh holds a Silver Athena SWAN award in recognition of our commitment to advance gender equality in higher education. We are members of the Race Equality Charter and we are also Stonewall Scotland Diversity Champions, actively promoting LGBT equality. 

Prior to any employment commencing with the University you will be required to evidence your right to work in the UK. Further information is available on our right to work webpages (opens new browser tab).

 

The University is able to sponsor the employment of international workers in this role.  If successful, an international applicant requiring sponsorship to work in the UK will need to satisfy the UK Home Office’s English Language requirements and apply for and secure a Skilled Worker Visa.  Please note if the role is offered on a part-time basis, it may result in sponsorship being dependant on a number of factors specific to the successful applicant or the role no longer meeting the Home Office’s criteria for sponsorship.

 

Key dates to note

The closing date for applications is 8 May 2025.

Unless stated otherwise the closing time for applications is 11:59pm GMT. If you are applying outside the UK the closing time on our adverts automatically adjusts to your browsers local time zone. 

Interviews will be held within 3 weeks of closing date.

As a world-leading research-intensive University, we are here to address tomorrow’s greatest challenges. Between now and 2030 we will do that with a values-led approach to teaching, research and innovation, and through the strength of our relationships, both locally and globally.