Haystack
← Back to Jobs
Full time
Other

Research Fellow/Senior Research Fellow in Statistical Data Science at the University of Wollong ...

The International Society for Bayesian AnalysisWollongong, New South Wales🇦🇺AustraliaPosted 21 Apr 2026

Why This Role Stands Out

This hybrid Research Fellow position offers a fantastic opportunity to contribute to cutting-edge statistical data science within the energy sector, fostering significant career growth and skill development in a collaborative, interdisciplinary environment. You'll thrive here if you possess a PhD in Statistics or a related field and are eager to apply your modeling and programming expertise to impactful research. Apply now to join a vibrant academic community and advance your career in statistical data science.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

Overview

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).

Responsibilities

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.

Qualifications

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.

How to apply

For selection criteria, and to apply, please visit

Application deadline

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

Skills

Machine Learning

Similar jobs