Research Associate

Contract Type: Fixed-term for 3 years

Summary: Are you interested in developing the first Virtual Mouse Twin for the optimisation of treatments for Osteoporosis?

This highly interdisciplinary Research Associate position will advance our understanding of the effect of the combined biomechanical and pharmacological treatments on musculoskeletal biomechanics using mouse models, personalised multibody dynamics models, and subject specific finite element models.

The position is within Insigneo and is funded as part of a project selected by the ERC-Consolidator and funded by the EPSRC that aims to develop and validate new multiscale computational models for optimising treatments for OP. This part of the project is focused on the development and integration of personalised multibody dynamics models of the mouse hindlimb and finite element models of the mouse tibia. These models will be the basis for the virtual mouse twin, that will be used to test new interventions against Osteoporosis in silico.

The ideal candidate will have an excellent PhD in computational musculoskeletal biomechanics or a related discipline. They will possess a solid knowledge of bone and muscle biomechanics, multibody dynamics models, and finite element models for bones. Ensuring the achievement of the project objectives will advance the vision of the Insigneo institute to validate computational models for the musculoskeletal system and produce a transformational impact on healthcare. The Research Associate will also sustain and strengthen collaboration within relevant Insigneo research groups and beyond; and will commit to Insigneo’s mission to produce high quality and impactful cutting-edge research.

We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.

We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.

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