Post-doctoral Research Scientist in Computational Modelling

Location: Leeds - Main Campus

Contract type: Fixed term (36 months - to complete specific time limited work.)

Are you an ambitious researcher looking for your next challenge? Do you have a background in Medical Imaging, particular in processing and modelling of microstructural / diffusion MRI? Do you want to further your career in one of the UK’s leading research-intensive Universities? 

Cardiac Diffusion Magnetic Resonance Imaging (cDTI MRI) can measure the microstructure of the heart. Emerging data are showing the great potential of cDTI in risk stratifying patients with heart disease and specifically in patients with aortic valve stenosis.   In this BHF-funded project which is led by A/Prof Erica Dall’Armellina at the University of Leeds, we aim to determine the robustness of cDTI in identifying microstructural changes in patients with aortic stenosis pre- and post-surgery. The post-holder will have a background in engineering, computing and / or image data analysis or equivalent and will be based in Leeds to support advanced data analysis and modelling on this project. Specifically, advanced imaging processing skills, which will allow them to develop and validate algorithms for combination of multiparametric / multi-scale images and extraction of quantitative information are essential. The post-holder will be also required to travel to Manchester to work with collaborators (Prof. A. Frangi) as needed.

What we offer in return

• 26 days holiday plus approx. 16 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s 42 days a year!
• Generous pension scheme options plus life assurance
• Health and Wellbeing: Discounted staff membership options at The Edge, our state-of-the-art Campus gym, with a pool, sauna, climbing wall, cycle circuit, and sports halls.
• Personal Development:
  • Access to courses run by our Organisational Development & Professional Learning team.
  • All FMH staff are entitled to ten days staff development per year (pro rata). Please speak to your Line Manager about how you can utilise these.
• Access to on-site childcare, shopping discounts and travel schemes are also available.

To explore the post further or for any queries you may have, please contact:

Dr Erica Dall'Armellina, Senior Lecturer

Email: E.DallArmellina@leeds.ac.uk

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