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PhD TitleMoving granular materials efficientlySupervisors: A/Prof Pierre Rognon, Prof. David Airey and Dr Benjy MarksInstitution: SciGEM, School of Civil Engineering, The University
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reliable tool for predicting and mitigating dam failures, improving safety, resource management, and sustainability in water infrastructure.We are seeking two highly motivated and talented PhD candidates
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have a PhD in Computer Science or Machine Learning (or be able to demonstrate equivalent research experience) and possess a deep and demonstrable knowledge of these fields. They must be a strong team
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with higher degree by research candidates, staff and industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in relevant
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industry, together with a strong commitment to teamwork and multidisciplinary collaboration. Qualifications Mandatory: PhD or equivalent in relevant field. Please Note: Appointment to this position is
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of recruiting talent aligned to these values and are looking for Researchers in Astrophotonics and Astronomical Instrumentation who have: a PhD or equivalent experience in physics, optics, photonics or astronomy
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. The successful applicant will join and help support the JBI international trainers’ network and some national and international travel may be required. To be successful you will need: PhD in the discipline or have
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looking for Researchers in Astrophotonics and Astronomical Instrumentation who have: a PhD or equivalent experience in physics, optics, photonics or astronomy, or an engineering background with a focus on