Research Fellow in Computational Skull Biomechanics

Are you an early career researcher looking for your first challenge? Do you have a background in Computational Biomechanics? Do you want to further your career in one of the UK’s leading research-intensive universities?

We are looking for a proactive individual to join the Institute of Medical and Biological Engineering to investigate the functional performance in bird skulls through using computational modelling to simulate bone adaptation in the skull.   

The role is part of an BBSRC project, in collaboration with the University of Hull, which is investigating how the morphological variation between bird skulls influences their skull biomechanics. 

The computational modelling required to accurately simulate bone adaptation in the bird skull is extremely challenging. Therefore, this role will use a range of computational techniques to: (1) create computational models that contain sufficient detail of the external and internal bone geometry; (2) validate the computational models to establish best practices for modelling bird feeding; and (3) implement appropriate remodelling algorithms to simulate bone adaptation to changes in loading environment. 

You will have a strong background in computational biomechanics, and have a proactive approach to working in an computational modelling environment. You will join an Institute that includes different expertise and substantial experience in supporting early stage researchers in a key phase of their career. We encourage an environment of collaboration, trust and wellbeing, which values difference of ideas and embraces diversity.

This role will be based at the university of Leeds campus and there is scope for it to be undertaken in a hybrid manner. We are open to discussing flexible working arrangements.

To explore the post further or for any queries you may have, please contact: 

Dr Peter Watson, Associate Professor in Computational Biomechanics

Tel: +44 (0)113 343 9241

Email: P.Watson1@leeds.ac.uk 

Please note that this post may be suitable for sponsorship under the Skilled Worker visa route but first-time applicants might need to qualify for salary concessions. For more information, please visit the Government’s Skilled Worker visa page.

For research and academic posts, we will consider eligibility under the Global Talent visa. For more information, please visit the Government’s page, Apply for the Global Talent visa.

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