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Research Associate in Multiphysics-Informed Machine Learning for Cardiovascular Biomechanics

2 months ago

Oxford, United States The University of Manchester Full time

We are seeking to appoint an ambitious and proactive Research Associate to be part of a multidisciplinary team developing high-fidelity models of cardiovascular fluid dynamics and device-flow/device-tissue interactions through multi-physics and physiological modelling. The candidate will leverage clinical and experimental data, first-principle physics-based simulations, scientific machine-learning approaches, data assimilation, and uncertainty quantification techniques. Integral to this work will also be the application of these techniques to large real-world multimodal datasets, clinical trials datasets and population imaging studies.

What you’ll need

Applicants should have a PhD in computational cardiovascular mechanics and prosthetic valves or related fields and expertise in either computational solid mechanics to analyse soft-tissue deformations and device interactions or computational fluid mechanics to enable analysis of haemodynamics and thrombosis. One of the critical challenges we want to tackle is how to efficiently execute ensembles of virtual experiments entailing. Experience in working with multiphysics and multiscale models and in accelerated methods for solving partial differential equations and scientific machine learning (physics-informed machine learning) is essential. A developing publication profile will be advantageous.

As this role involves research at a postgraduate level, applicants who are not an EEA national or a national of an exempt country and who will require sponsorship under the Skilled Worker route of the UK Visas and Immigration’s (UKVI) Points Based System in order to take up the role, will be required to apply for an Academic Technology Approval Scheme (ATAS) Certificate and will need to obtain this prior to making any official visa application UKVI)

What you will get in return:

Fantastic market leading Pension scheme Excellent employee health and wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts at a range of major retailers