Research Fellow in Computational Statistics and Bayesian Methods

7 days ago


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

The School of Mathematics and Applied Statistics at the University of Wollongong is seeking a highly skilled Research Fellow in Computational Statistics and Bayesian Methods. The successful candidate will contribute to the development of statistical methodology for contemporary challenges in high-dimensional Bayesian statistics.

Key Responsibilities
  • Develop and implement effective Bayesian computational strategies for high-dimensional statistical models.
  • Collaborate with Professor Sumeetpal Singh to devise and implement Markov Chain Monte Carlo and Sequential Monte Carlo methods.
  • Contribute to the supervision of a doctoral research studentship.
Requirements
  • PhD in Statistics or a related field.
  • Strong background in Bayesian statistics and computational methods.
  • Excellent research and communication skills.
How to Apply

Applicants should submit a cover letter, CV, and research statement. The selection criteria questionnaire will also be part of the application process.



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