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PhD position at University of Otago New Zealand for Implant topology optimisation

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  • PhD position at University of Otago New Zealand for Implant topology optimisation

    PhD position available:
    A 3 year fully funded PhD project is available immediately in the CReaTE Group (University of Otago Christchurch) as part of a 4 year project funded by the Ministry of Business Innovation & Employment (MBIE) in collaboration with medical device industry partners and the University of Auckland (ABI).

    Project: Topology optimisation of 3D Printed titanium scaffolds for bone regeneration
    Primary supervisor: Dr Tim Woodfield (UoO Christchurch)
    Co supervisors: Dr Justin Fernandez (UoA), Prof Gary Hooper (UoO)

    Additive manufacturing (AM) is driving a revolution in personalised medicine by allowing implants to be tailored to exactly match each patient. With a growing population and an epidemic of joint disease there is an acute need for effective and long lasting treatments. AM enables the creation of implants that not only match the patients anatomy, but encourage bone growth and remodelling to enhance implant survivorship and reduce implant related disease.
    The CReaTE group develops bone-interfacing implants and porous scaffolds through a variety of platform technologies in AM and biofabrication using metals, polymers and gels/bio-inks. We are seeking motivated PhD candidates with a background in bioengineering, computational mechanics and 3D Printing to investigate scaffold architecture optimisation in AM titanium implants, as well as design of scaffold surface topography to promote bone formation. Both architecture and topography are critical factors involved in influencing bone formation in vivo, and results from this PhD will be evaluated in in vivo models and in close collaboration with industry partners.

    Project Objectives:
    1. Develop and apply topology optimisation algorithms to drive scaffold design.
    2. Model scaffold topology to achieve optimal biomaterial properties for macro-scale models of sheep proximal tibia and distal femur with daily loading forces.
    3. Validate optimisation strategies with material characterisation including topology, topography and mechanical properties, novel CT imaging techniques.
    4. Investigate in vivo response against computational predictions using in silico/in vitro models in bone including biomechanical and bone histology techniques.

    The specific skills required:
    1. Experience with computational modelling, optimisation routines, computational mechanics, Matlab, FEA software, mechanical testing are essential.
    Interest in 3D Printing, medical device design, bone biology, computer-aided design (CAD), CT imaging, biomaterial/surface characterisation techniques, are also highly desirable.

    For more information see attachment and visit the CReaTE Bioegineering page at, and PDF Implant topology optimisation PhD - University of Otago New Zealand 2.pdf