Research Associate in Cardiovascular Biomechanics

1 week ago


Oxford, United States The University of Manchester Full time
Research Associate in Multiphysics-Informed Machine Learning for Cardiovascular Biomechanics

We are seeking a highly skilled Research Associate to join our multidisciplinary team developing advanced models of cardiovascular fluid dynamics and device-flow/device-tissue interactions. The successful candidate will leverage clinical and experimental data, first-principle physics-based simulations, and scientific machine-learning approaches to drive innovation in this field.

Key Responsibilities
  • Develop and apply multiphysics and multiscale models to analyze cardiovascular mechanics and prosthetic valves
  • Design and execute ensembles of virtual experiments to tackle complex challenges in cardiovascular fluid dynamics and device interactions
  • Collaborate with experts in computational solid mechanics and fluid mechanics to advance our understanding of haemodynamics and thrombosis
  • Contribute to the development of accelerated methods for solving partial differential equations and scientific machine learning techniques
Requirements
  • PhD in computational cardiovascular mechanics or related field
  • Expertise in computational solid mechanics or fluid mechanics
  • Experience with multiphysics and multiscale models, scientific machine learning, and accelerated methods
  • Strong publication record and ability to work independently
What We Offer
  • Fantastic market-leading pension scheme
  • Excellent employee health and wellbeing services
  • Exceptional starting annual leave entitlement
  • Additional paid closure over the Christmas period
  • Local and national discounts at major retailers


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