مشاركة
المؤسسة: University of Leeds
المملكة المتحدة
وجد : 2022-05-25 منتهي الصلاحية
تفاصيل :

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

25 days holiday plus 15.5 Bank Holidays/days that the University is closed by custom (including Christmas) – That’s over 40 days a year!Health and Wellbeing: including options for flexible working, discounted access to our state-of-the-art Campus gym and sports facilities, and more. Access to on-site childcare, shopping discounts and travel schemes are also available.Personal Development: Access to courses run by our Organisational Development & Professional Learning team and self-development courses.A large but compact university campus housing state-of-the-art research facilities, transformational research, and a bustling innovation hub.

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


Closing Date: 06 Jun 2022

Section: Research

Salary: £34,304 to £40,927 p.a.
Due to funding restrictions, an appointment will not be made higher than £36,382 p.a.





هل تقوم بالتوظيف؟


ضع عروضك على موقعنا (مجانا).

إتصل بنا الان!
تنويه: نحن نهدف إلى توفير المعلومات الصحيحة والموثوقة حول الأحداث القادمة، لكن لا يمكن أن نقبل المسؤولية عن نص الإعلانات أو حسن نية منظمي الحدث. لا تتردد في الاتصال بنا إذا لاحظت معلومات غير صحيحة أو مضللة وسنحاول تصحيحها.