Employment opportunities

Tutor (Indigenous Applicants Only)
Job posted: 24 May 2019
Applications close: 31 Dec 2019
Only Indigenous Australians are eligible to apply as this position is exempt under the Special Measure Provision, Section 12 (1) of the Equal Opportunity Act 2011 (Vic). Reporting to the Academic Manager, the Tutor is part of the Mathematics and Statistics Learning Centre (MSLC) team. The MSLC is committed to providing a tutorial program of the highest quality to all students studying Mathematics and Statistics at the University of Melbourne. The role of this Tutor position involves delivering tutorials and computer laboratory classes within the undergraduate program, including the marking of assignments and examinations, and assisting with the preparation of course material.

Lecturer in Analysis
Job posted: 18 Jul 2019
Applications close: 08 Nov 2019
The School of Mathematics and Statistics is seeking to further enhance its expertise in the field of analysis, with special interest in the areas of partial differential equations and geometric analysis. The successful applicant is expected to lead a vigorous research program in analysis and should have a strong commitment to teaching and the supervision of research students. Teaching will occur within the School of Mathematics and Statistics undergraduate and MSc programs and the applicant will be expected to teach mathematics and its applications to a variety of audiences. They are also required to supervise research students at undergraduate, MSc and PhD levels in pure mathematics.

Lecturer in Applied Mathematics (Computational)
Job posted: 18 Jul 2019
Applications close: 08 Nov 2019
The School of Mathematics and Statistics is seeking to expand its expertise in computational and applied mathematics. The successful applicant is expected to undertake highlevel research in computational mathematics, leading to a vigorous research program in the development of numerical methods, their analysis and their application.

Lecturer/Senior Lecturer in Mathematical Statistics
Job posted: 18 Jul 2019
Applications close: 08 Nov 2019
The School of Mathematics and Statistics is seeking to expand its expertise in contemporary statistics within the Statistics research group. The Lecturer/Senior Lecturer in Statistics is expected to undertake highlevel theoretical and methodological research in an area of modern statistics, leading to a vigorous research program. The applicant should also have a strong commitment to teaching and the supervision of research students. Teaching will occur within the School of Mathematics and Statistics undergraduate and MSc programs and the applicant will be expected to teach statistics to a variety of different audiences. They are also required to supervise research students at undergraduate, MSc and PhD levels in statistics.

Lecturer/Senior Lecturer Statistics (Data Science)
Job posted: 18 Jul 2019
Applications close: 08 Nov 2019
The School of Mathematics and Statistics is seeking to expand its expertise in the area of Data Science within the Statistics research group. The successful applicant is expected to develop and maintain a highlevel research program in statistics with emphasis on data science.

HarcourtDoig Research Fellowship
Job posted: 20 Sep 2019
Applications close: 17 Nov 2019
The School of Mathematics and Statistics at the University of Melbourne has established two prestigious fouryear research fellowships, for exceptional early career researchers in the mathematical sciences, whose research has the potential to have a significant impact, either in fundamental research or toward practical applications: The HarcourtDoig Research Fellowship, named after the pioneering Alison HarcourtDoig https://ms.unimelb.edu.au/news/mathsscholarshipnamedafteralisonharcourt. The Wurruwurru Research Fellowship, named in the Woi wurrung language of the local indigenous community, the Wurundjeri people https://ms.unimelb.edu.au/news/wurruwurruresearchfellowshipannounced.

Wurruwurru Research Fellowship
Job posted: 20 Sep 2019
Applications close: 17 Nov 2019
The School of Mathematics and Statistics at The University of Melbourne has established two prestigious four year research fellowships for exceptional early career researchers in the mathematical sciences, whose research has the potential to have a significant impact, either in fundamental research or toward practical applications: The HarcourtDoig Research Fellowship, named after the pioneering Alison HarcourtDoig https://ms.unimelb.edu.au/news/mathsscholarshipnamedafteralisonharcourt. The Wurruwurru Research Fellowship, named in the Woi wurrung language of the local indigenous community, the Wurundjeri people https://ms.unimelb.edu.au/news/wurruwurruresearchfellowshipannounced.

Research Fellow in Statistical Data Science
Job posted: 07 Oct 2019
Applications close: 10 Nov 2019
The School for Mathematics and Statistics is seeking a qualified and enthusiastic Research Fellow to lead cuttingedge research in statistical approaches in the broad context of Data Science. This includes both theoretical and computational methodological development with the potential for interdisciplinary collaborations. This position offers the ideal candidate a unique opportunity to be part of an exciting and dynamic research program. The successful candidate will be affiliated with the recently launched Data Science at the University of Melbourne (DatUM) initiative partnered between the School of Mathematics and Statistics and School of Computing and Information Systems. The position is housed within the School of Mathematics and Statistics, and will report to Professor Howard Bondell, whose research focuses on a wide variety of methodology and applications.

Research Fellow  Statistics for Biosecurity Risk
Job posted: 09 Oct 2019
Applications close: 06 Nov 2019
The School for Mathematics and Statistics, and its partner the Centre of Excellence for Biosecurity Risk Analysis (CEBRA) are seeking a qualified and enthusiastic Research Fellow to lead cuttingedge research in method development, implementation and analysis of regulatory data. The position offers a rare opportunity to work in a multidisciplinary environment amongst statisticians, economists and biologists, while also allowing the development of an individual research agenda. The successful applicant will be exposed to exciting and relevant problems in the area of biosecurity risk analysis, and have the opportunity to not only work on the applied side of these problems, but also be able to use these as motivation for branching out to new areas of methodological development.