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Senior Data Science Fellow: Energy Systems Modelling

BayesianWollongong, New South Wales🇦🇺Australia

Why this role stands out

Advance your career in statistical data science with this exciting fellowship focused on innovative energy systems modeling, offering significant opportunities for impactful research and skill development within a collaborative, interdisciplinary team. You'll thrive here if you possess a PhD in Statistics or a related field and are eager to apply advanced modeling techniques to critical industry challenges, with the flexibility of a hybrid work environment. Don't miss this chance to contribute to cutting-edge research and expand your expertise.

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationWollongong, New South Wales, Australia
Machine Learning

Job description

Research Fellow/Senior Research Fellow in Statistical Data Science at the University of Wollongong, Australia

Oct 28, 2021

The National Institute for Applied Statistics Research Australia at the University of Wollongong invites applications for a Research Fellow/Senior Research Fellow to join the Data Science team in the Research Hub for Transforming energy Infrastructure through Digital Engineering (TIDE).

The successful candidate will provide critical support through methodological development in Statistical Data Science to meet challenges faced in the energy sector. Areas of research include (and are not limited to)

• Statistical spatial and spatio-temporal modelling;
• Physical-statistical modelling;
• Bayesian inference and uncertainty quantification;
• Optimal design;
• Statistical machine learning;
• Time series modelling.

The appointee will collaborate closely with researchers at NIASRA, as well as other members of the Hub, which is based at the University of Western Australia. This is a vibrant and active research environment comprising inter-disciplinary expertise in oceanography, engineering, and data science. The successful candidate will have, or be close to having, a PhD in Statistics or a closely related discipline, good statistical modelling skills, good programming skills, and good communication skills. The position is for three years, with a possibility for extension.

For selection criteria, and to apply, please visit

Applications close on 17 December :59 AET. Any queries should be directed to Andrew Zammit-Mangion ()

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