Position Overview & Specifications
Are you an early-career researcher who wants to set the theoretical foundations that solve clinical and industrial problems? Do you have a background in computational fluid dynamics, modelling medical device-tissue interactions, computational multi-physics or multi-scale modelling? Are you willing to take up the challenge of working across disciplines and on real-world data? Are you passionate for combining computational algorithms, modelling and simulation in trailblazing research to deliver in-silico trials of medical devices?
The Centre for Computational Imaging and Simulation Technologies in Biomedicine (CISTIB), within the Faculties of Engineering & Physical Sciences and Medicine & Health, involves various academics and their research groups. CISTIB focuses on algorithmic and applied research in the areas of computational imaging, machine learning, deep learning, and computational physiology modelling and simulation. CISTIB works in close cooperation with clinicians from various research centres from the University of Leeds and the academic hospitals of the Leeds Teaching Hospitals NHS Trust, one of the largest NHS Trusts in the UK.
We are looking for a Research Assistant to support our work by developing high fidelity models of cardiovascular fluid dynamics and device-flow interactions through multi-physics, physiological modelling. Experience in developing efficient schemes to run ensembles of virtual experiments through accelerated numerical solvers and physics-informed machine learning is a bonus. We have identified cardiovascular medical devices as the first exemplar scenario with an emphasis on valvular prostheses.
Holding a BSc/MSc (or equivalent) degree in a relevant area (i.e. physics, engineering, computer sciences, mathematics or statistics); you will be proficient in computer programming (e.g. Python, MATLAB, C/C++, ANSYS, Abaqus, FreeFEM).
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, and self-development courses including languages, Creative Writing, Wellbeing Therapies and much more.
- Access to on-site childcare, shopping discounts and travel schemes are also available.
And much more!
To explore the post further or for any queries you may have, please contact:
Professor Alex Frangi, Diamond Jubilee Chair of Computational Medicine
Email: A.Frangi@leeds.ac.uk
Location: Leeds - Main CampusFaculty/Service: Faculty of Engineering & Physical Sciences
School/Institute: School of Computing
Category: Research
Grade: Grade 6
Salary: £28,762 to £34,308 p.a.
Working Time: 37.5 hours per week
Post Type: Full Time
Contract Type: Fixed Term (12 months due to grant funding)
Release Date: Thursday 09 February 2023
Closing Date: Thursday 16 February 2023
Interview Date: To be confirmed
Reference: EPSCP1121