Research Fellow in Computational Cardiovascular Flows, Mechanics and Devices
- University of Leeds
- Location: Leeds, United Kingdom
- Job Number: 7100622 (Ref #: EPSCP1096)
- Posting Date: May 24, 2022
Job Description
Are you an early or mid-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 and 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?
We are looking for a Research Fellow 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.
You will hold a BSc/MSc (or equivalent) degree in relevant areas (i.e. physics, engineering, computer sciences, mathematics, or statistics), and a PhD (or have submitted your thesis before taking up the role) in a relevant computational domain. A track record in research commensurate with level of experience; in depth knowledge in statistics, physics, machine learning, and/or engineering and maths in the broad sense and proficiency in computer programming is a must. Experience in medical imaging physics and analysis (e.g. MRI, CT, and US) and a good knowledge in statistics and/or Bayesian learning would be advantageous.
What we offer in return
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: [email protected]
Location: | Leeds - Main Campus |
Faculty/Service: | Faculty of Engineering & Physical Sciences |
School/Institute: | School of Computing |
Category: | Research |
Grade: | Grade 7 |
Salary: | £34,304 to £40,927 p.a. |
Due to funding restrictions, an appointment will not be made higher than £36,382 p.a. | |
Working Time: | 37.5 hours per week |
Post Type: | Full Time |
Contract Type: | Fixed Term (2 years (grant funding)) |
Release Date: | Monday 23 May 2022 |
Closing Date: | Monday 06 June 2022 |
Interview Date: | Friday 17 June 2022 |
Reference: | EPSCP1096 |
The University community is made up of a wide range of people with diverse backgrounds and circumstances, which we value and regard as a great asset. As part of our continued commitment to equality and inclusion, we strive to create an environment where everyone can reach their full potential and have a real opportunity to participate in and contribute to our activities.