University of Sydney

Tech / AI / Software

PostdoctoralResearchAssociatePhysicsInformedLearningandOptimisationofWindfarmsDynamics

$109–121k sydney, new south wales, australia FULL TIME
The Brief

“Postdoctoral Research Associate – Physics-Informed Learning and Optimisation of Windfarms Dynamics at University of Sydney. Skills: Physics-Informed Learning, Optimisation, Windfarms Dynamics, Machine Learning, Reduced-Order Modelling, Data-Driven Control. develop new approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems, taking into account wake interactions between individual wind turbines. generate and utilize reduced-complexity predictive models”

Industry & Context.

Tech / AI / Software
Eligibility Requirements

unrestricted work rights in Australia for the duration of this employment, successful completion of all pre-employment or background checks

What They're Looking For.

Must Have

PhD (or soon to be completed) in physics-informed learning, neural operators, computational fluid dynamics, or a closely-related field, a research track record, potential or demonstrated, of international standing, mathematical and computational skills, experience with machine learning tools and software libraries, demonstrated expertise and research experience in physics-informed machine learning, reduced-order modelling, and/or prediction and control of fluid systems, excellent written and verbal English communication skills, demonstrated ability to work as a member of a team and independently, unrestricted work rights in Australia for the duration of this employment

Nice to Have

Proficient in X, Knowledge of X, Familiar with X, X experience required

What You'll Do.

develop new approaches to optimisation and control of large-scale windfarms in low-carbon electric power systems

taking into account wake interactions between individual wind turbines

generate and utilize reduced-complexity predictive models for windfarm control

from combinations of computational fluid dynamics and experimental data

develop new methods in robust and physics-informed machine learning

reduced-order modelling

and data-driven control

How You'll Work.

Team & Collaboration

work as a member of a team

Communication Scope

excellent written and verbal English communication skills

Free ATS check

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