Senior Data Science Fellow: Energy Systems Modelling

Bayesian; Wollongong City Council; Sur place; AUD 90 000 - 120 000; Plein temps

Résumé du poste

A research institution is seeking a Research Fellow/Senior Research Fellow in Statistical Data Science in Wollongong, Australia. The position involves developing statistical methodologies to address challenges in the energy sector. Candidates should have a PhD in Statistics or a related field and strong skills in statistical modelling and programming. The role offers a vibrant research environment and opportunities for collaboration.

Qualifications

• PhD in Statistics or a closely related discipline.
• Good statistical modelling skills.
• Good programming skills.
• Good communication skills.

Responsabilités

• Provide methodological development in Statistical Data Science.
• Collaborate closely with researchers at NIASRA.
• Address challenges faced in the energy sector.

Description du poste

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 2021 23:59 AET. Any queries should be directed to Andrew Zammit-Mangion ([e-mail])