Lecturer in Statistical Inference for Complex Models@QUT

Closing date: 09-Jan-2022

Campus: Gardens Point

Remuneration: Total remuneration range: $119,829 to $142,312 pa (LEVB) (inclusive of $101,257 to $120,255 pa salary and 17% superannuation)

Status: Fixed-term, full-time basis for 4 years

Position contact: Professor Chris Drovandi (07) 3138 1756

The School of Mathematical Sciences at QUT is looking to recruit a Lecturer (Level B) who is able to provide strategic capacity in both research and learning and teaching within the school with expertise in statistical inference for complex models.

We are seeking applicants with expertise in the development of novel statistical methods and algorithms to perform parameter estimation and model selection for complex models, which can have varying levels of intractability. There is an opportunity to collaborate with researchers in domains where complex models are prevalent, such as mathematical biology and epidemiology.

The ideal candidate will have demonstrated expertise in Bayesian statistics, particularly in new computational algorithms and their associated theory. Applicants for this position will ideally have a strong publication track- record (relative to opportunity) in statistics and/or machine learning with an emphasis on computational Bayesian methods.

The candidate will have an ability and strong interest in providing high-quality statistics and data science learning experiences for students in the QUT BMath and BDataSc degrees, as well as for students from other fields where statistics is used, such as engineering, science and health.

For information see here (pdf), and to apply see here.