We invite applications for a National Industry PhD position at the University of Adelaide, focusing on AI-powered electricity price forecasting and battery optimisation in Australia's National Electricity Market.
Research Focus: This position sits at the intersection of machine learning, optimisation, and energy systems. You'll develop reinforcement learning algorithms and ML-based behavioural learning models under uncertainty to predict electricity prices. Your research will directly contribute to Australia's renewable energy transition through real-world deployment.
What We Seek:
* Strong background in reinforcement learning and machine learning under uncertainty
* Proficiency in Python and major ML libraries (TensorFlow, PyTorch, etc.)
* Interest in applying theoretical knowledge to practical energy challenges
* Ability to work across disciplines (ML/AI and power systems)
What We Offer:
* Exceptional funding: AUD $52,000 tax-free per annum (2025 rate) - nearly double standard Australian PhD stipends
* Industry collaboration: Direct partnership with OptiGrid, a University of Adelaide spin-off company
* Real-world impact: Your algorithms will be integrated into commercial products
* Comprehensive support: Expert supervision spanning academia and industry
* Professional development: Specialised training in research commercialisation through Campus Plus
Supervision Team: Dr Ali Pourmousavi Kani (University of Adelaide), Prof Wen Soong (University of Adelaide), Dr Ehsan Abbasnejad (Monash University), and Mr Owen Lamont (OptiGrid).
Application Details: This position is funded through the Australian Government's National Industry PhD Program, providing exceptional financial support and industry engagement opportunities.
Applications close: 30 August 2025 (or as soon as the best candidate is identified)
For full details and application procedures, visit: https://scholarships.adelaide.edu.au/Scholarships/postgraduate-research/faculty-of-sciences-engineering-and-technology-set/national
Enquiries: Dr Ali Pourmousavi Kani (a.pourm@adelaide.edu.au<mailto:a.pourm@adelaide.edu.au>)
We encourage applications from candidates worldwide. International students are welcome to apply.
Best regards,
Dr Ali Pourmousavi Kani
School of Electrical and Electronic Engineering
University of Adelaide, Australia
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************
Posts
