Research Fellow in Computational Statistics

3 days ago


Wollongong, New South Wales, Australia University of Wollongong Full time
Opportunity

The School of Mathematics and Applied Statistics at the University of Wollongong is seeking a highly skilled Associate Research Fellow in Computational Statistics to join our team. This is a fixed-term, full-time appointment for two years, commencing by March 2025.

Key Responsibilities
  • Develop and implement effective Bayesian computational strategies for high-dimensional statistical models.
  • Conduct research in statistical methodology and statistical computing within the initiative "Advanced Computationally Intensive Methods for Bayesian Analysis of High-dimensional Models."
  • Collaborate with Professor Sumeetpal Singh to devise and implement Markov Chain Monte Carlo and Sequential Monte Carlo methods for high-dimensional statistical models.
  • Contribute to the supervision of an associated doctoral research studentship.
Requirements
  • PhD in Statistics, Computational Science, or a related field.
  • Strong background in Bayesian statistics, high-dimensional statistical modeling, and computational methods.
  • Excellent research and analytical skills, with a track record of high-quality research publications.
  • Ability to work collaboratively in a team environment.
How to Apply

To be considered for this opportunity, please submit a cover letter detailing your interest in the position, relevant qualifications, and a 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.



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