Fixed Term, Full Time Appointment (2 years)
Level A: $90,795 - $106,374 plus 17% superannuation
The Opportunity
The School of Mathematics and Applied Statistics wishes to appoint an Associate Research Fellow in Computational Statistics to start by March 2025 (or a mutually agreeable date). This post complements the expansion in Statistics research through the appointment of the TIBRA Foundation Chair in Mathematical Sciences. We seek candidates with a track record of high-quality research in statistical methodology, focusing on areas of Bayesian computations.
The successful candidate will develop statistical methodology for contemporary and application-driven challenges in high-dimensional Bayesian statistics and may contribute to the supervision of an associated doctoral research studentship.
The candidate will join the University's flagship research intensive institute in statistics, the National Institute for Applied Statistics Research Australia (NIASRA), which has 12 faculty members, including five internationally recognised research professors, and 16 post-doctoral researchers and students. NIASRA is at the forefront of international research in Spatial Statistics, Environmental Informatics, Computational Statistics, Biometrics and Health Analytics, supported by its in-house High Performance Computing facility. NIASRA leads the university's Data and Decision Science Initiative, which aims to develop an organisational culture of data driven insight and decision making. NIASRA also provides a bespoke statistical consultancy service to researchers at UOW.
The successful applicant will conduct research in statistical methodology and statistical computing within the initiative "Advanced Computationally Intensive Methods for Bayesian Analysis of High-dimensional Models.'' The successful applicant will work with Professor Sumeetpal Singh (the TIBRA Chair) to devise and implement effective Bayesian computational strategies, such as Markov Chain Monte Carlo and Sequential Monte Carlo, for high-dimensional statistical models. Specific applications may include Bayesian learning of neural networks and Bayesian reinforcement learning.
How to Apply
You are required to submit a cover letter detailing your interest in this position, relevant qualifications and include your research statement. You are also required to attach an up-to-date CV and answer the selection criteria questionnaire as part of the application process.
For further information about this position, please contact Professor Sumeetpal Singh at ******
Closing Date: Sunday 27 October 2024, 11:59pm
The University of Wollongong is committed to workplace equity, diversity and inclusion. We value and acknowledge the importance of our people's diverse experiences, talents and cultures that they bring to work with them each day. Embracing diversity and creating inclusion is a key component of attracting and retaining talent in our workforce. The creation of a diverse and inclusive workforce is central to our ability to unlock potential, enhance our success and achieving our vision of being in the Top 1% of universities globally.
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