Next-Generation CABLE Land Surface Modelling
Equation Discovery for Next-Generation CABLE Land Surface Modelling of Carbon, Water and Energy Fluxes
Equation Discovery for Next-Generation CABLE Land Surface Modelling of Carbon, Water and Energy Fluxes
Successful applicants will receive an annual stipend and a one-off Global Mobility Grant to conduct international engagement activities.
Land models represent the exchange of carbon, water and energy between the land and atmosphere in climate and weather models, but many complex processes remain difficult to represent well.
This PhD project will use machine learning and observations to improve CABLE, the land model used in Australia's ACCESS Earth system modelling framework.
The successful candidate will explore equation discovery and other physics-informed machine learning approaches, to develop improved representations of processes in CABLE. The project will aim to strengthen Australia’s national Earth system modelling capabilities.
The project likely includes a research placement within the Max Planck Institute for Biogeochemistry (Germany) during the candidature. Applicants should demonstrate relevant experience and explain how their research and technical skills align with the project.
Eligible applicants must contact the Primary Supervisor, Gab Abramowitz - gabriel@unsw.edu.au. If he agrees to supervise you, you will be invited to submit a formal application to UNSW.
Your email should include:
$39,991 per annum (2027 rate) stipend for 3.5 years
$25,000 Global Mobility Grant (one-off)
Prof Gab Abramowitz (UNSW, Primary Supervisor)
Dr Sanaa Hobeichi (UNSW, Co-Supervisor)
Prof Markus Reichstein (Max Planck Institute for Biogeochemistry, Co-Supervisor)
Domestic
Doctor of Philosophy (PhD)
UNSW School | Research area
Faculty of Science | School of Biological, Earth and Environmental Sciences
Impact focus area
Pillar 6: Accelerate the transition to a sustainable society and planet
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Impact focus area
Pillar 7: Advance economic and social prosperity
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Impact focus area
Pillar 9: Strengthen societal resilience, security and cohesion
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Supervisors
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