CSIRO Postdoctoral Fellowship in Machine Learning

CSIRO

  • Do you have a PhD in engineering, applied mathematics, physics, computer science or statistic?
  • Do you want to conduct innovative research with a leading research organisation?
  • Join CSIRO – Australia’s leading scientific research organisation!

CSIRO Early Research Career (CERC) Postdoctoral Fellowships provide opportunities to scientists and engineers who have completed their doctorate and have less than three years of relevant postdoctoral work experience. These fellowships aim to develop the next generation of future leaders of the innovation system.

CSIRO Oceans and Atmosphere have an exciting opportunity for a Postdoctoral Fellow to join the Geophysical Fluid team to conduct research on “Causal inference in high-dimensional multi-scale systems”. The CERC Fellow will work closely with senior researchers from Data61 and Environment Business Unit to develop novel methodologies for feature selection, causal inference and prediction combining optimization methods with Bayesian machine learning in computationally efficient frameworks.  

The fellow will research, design, develop and apply new machine learning (ML) algorithms for causal inference in complex multiscale systems. These algorithms will address challenges concerning uncertainty quantification and propagation, probabilistic inference in high-dimensional systems, and modelling dynamics and causal relationships. It is expected that the solutions developed by the fellow will be based on sound mathematical and practical frameworks such as deep neural networks, variational inference, structural causal models, neural differential equations, and/or state-space models.

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