Postdoctoral Research Associate – Physics Informed Learning …, City of Sydney
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City of Sydney, Australia
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Posted: less than a week ago
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Save
- $121,054 + 17% superannuation
About the prospect
We are seeking a Postdoctoral Research Associate to join the Australian Centre for Robotics and the Net Zero Institute at the University of Sydney, Australia. The successful applicant will work at Sydney with Prof. Ian Manchester and Prof Gregor Verbic, in collaboration with Prof Ben Thornber (Queens University Belfast, UK) and Prof. Dr Harald Köstler (Friedrich Alexander University of Erlangen, Germany) on a project funded in part by the Australian Research Council.
The successful applicant will work with this team to develop recent approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems, taking into account wake interactions between individual wind turbines. The project focus is on how to generate and utilize reduced-complexity predictive models for windfarm control, from combinations of computational fluid dynamics and experimental data.
You will join the Australian Centre for Robotics (ACFR), at the University of Sydney. The ACFR is one of the largest robotics research institutes in the world, with over 140 members including faculty, research fellows, technical staff, and postgraduate students. The ACFR performs fundamental research on perception, control, modelling, learning, and systems engineering and has robust industry and scientific collaborations in sectors including mining, aviation, agriculture, manufacturing defence, and environmental resilience.
About you
The University values courage and creativity; openness and engagement; inclusion and diversity; and respect and integrity. As such, we see the importance of recruiting talent aligned to these values and are looking for a Postdoctoral Research Associate in Physics-Inf Apply on Kit Job: kitjobau.com/job/3qqd0p
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Company nameCentre For Continuing Education
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Job positionPostdoctoral Research Associate – Physics Informed Learning And Optimisation Of Windfarms Dynamics City Of Sydney
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