Post Doctoral Fellow Research Scientist in Computational Modelling

University Of Leeds (Medicine); Leeds; On-site; GBP 35,000 - 50,000; Full time

Job summary

A prominent UK university is seeking an ambitious researcher in Medical Imaging. The role involves supporting advanced data analysis, developing algorithms for combining images, and requires a background in engineering or image data analysis. This position offers extensive leave benefits and personal development opportunities in a collaborative research environment.

Benefits

26 days holiday plus approximately 16 Bank Holidays

Generous pension scheme options

Discounted gym membership

Access to on-site childcare

Staff development access

Qualifications

• Background in engineering, computing and/or image data analysis or equivalent.
• Advanced imaging processing skills relevant to diffusion MRI/microstructure modelling.

Responsibilities

• Support advanced data analysis and modelling for the cDTI MRI project.
• Develop and validate algorithms for combining multiparametric and multi-scale images.

Skills

Advanced imaging processing skills

Background in engineering/computing/image data analysis

Job description

Overview

Faculty of Medicine and Health

Leeds Institute of Cardiovascular & Metabolic Medicine

Are you an ambitious researcher looking for your next challenge? Do you have a background in Medical Imaging, particularly 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 also be required to travel to Manchester to work with collaborators (Prof. A. Frangi) as needed.

Responsibilities

• Support advanced data analysis and modelling for the cDTI MRI project.
• Develop and validate algorithms for combining multiparametric and multi-scale images and extract quantitative information.
• Collaborate with internal and external partners, including travel to Manchester to work with collaborators as needed.

Qualifications

• Background in engineering, computing and/or image data analysis or equivalent.
• Advanced imaging processing skills relevant to diffusion MRI / microstructure modelling.

What we offer in return

• 26 days holiday plus approximately 16 Bank Holidays (42 days per year).
• Generous pension scheme options plus life assurance.
• Health and Wellbeing: Discounted staff membership at The Edge (gym with 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).
• Access to on-site childcare, shopping discounts and travel schemes are also available.

How to apply / Contacts

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

Dr Erica Dall'Armellina, Senior Lecturer

Email: [e-mail]