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postdoctoral position in predictive musculoskeletal modelling at the University of New South Wales

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  • postdoctoral position in predictive musculoskeletal modelling at the University of New South Wales

    We are seeking a talented and motivated Research Associate or Senior Research Associate to join the Neuromechanics group in the Graduate School of Biomedical Engineering at the university of New South Wales (UNSW) in Sydney, Australia. This role is part of the Motion Connect project—an Australian national initiative dedicated to collecting, harmonising, and analysing paediatric data from clinical gait laboratories across Australia.

    The successful candidate will focus on predictive musculoskeletal simulations, contributing to the development of advanced computational models that enhance understanding of human movement and support clinical decision-making. This is an exciting opportunity to work on cutting-edge research with direct applications in paediatric healthcare and rehabilitation.

    This is a fixed-term, full-time position for 24 months, that will provide you with the opportunity to develop your scholarly research and professional activities both nationally and internationally, contributing to scientific papers for international journals, participate in conferences and supervise PhD students.

    The requirements for this post are:
    • A PhD in biomechanics, musculoskeletal modelling or other discipline related to the project, e.g. computer graphics.
    • Strong background in biomechanics and in the application of biomechanical principles to the study of musculoskeletal pathologies and neuromuscular conditions (ideally cerebral palsy).
    • Proficiency in scripting languages (required: Python and MATLAB) and/or programming (desirable: C++).
    • Extensive experience with at least one musculoskeletal simulation software package (desirable: OpenSim).
    • Experience with the generation of predictive simulations using musculoskeletal models (familiarity with one or more of these packages is desirable: OpenSim Moco, Predsim, SCONE, Bioptim).
    Desirable requirements are:
    • Experience in creating and personalising musculoskeletal models based on medical images or clinical measurements and observations.
    • Experience in the use of reinforcement learning and deep reinforcement learning for simulating human motion.
    Click here to view the full position details and apply.

    Applications close 11:55 pm (Sydney time) on Tuesday 14 January 2025.

    For inquiries or informal discussions please contact Dr Luca Modenese.
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