University of Melbourne, Mathematics & Statistics

534 14130Position ID: UniMelb-APUOMDS [#14130, 0047798]
Position Title: Assistant Professor in Statistics (Data Science)
Position Type: Tenured/Tenure-track faculty
Position Location: Melbourne, Victoria 3010, Australia [map]
Subject Area: Statistics (Data Science)
Application Deadline: 2019/11/08 11:59PMhelp popup** finished (2019/07/18, finished 2020/05/10, listed until 2019/11/08)
Position Description:    

*** this position has been closed, and no new applications is accepted. ***

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 high-level research program in statistics with emphasis on data science. Melbourne provides an outstanding environment in which to develop innovative research in statistics/data science, with opportunities for collaborations with machine learning and bioinformatics researchers in the School of Computing and Information Systems, biostatisticians in the Melbourne School of Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics (MIG) research hub as well as applied and theoretical approaches to big data in the Australian Research Council (ARC) Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS). The School has excellent computing facilities and access to super computers is available through Spartan, the university’s local High Performance Computing service.

Beyond the Statistics group, the School maintains activity in all areas of the mathematical sciences. It has research foci in many areas of algebra, analysis, geometry, topology, number theory, continuum modelling, mathematical biology, mathematical physics, discrete mathematics, operations research, mathematical and applied statistics, statistical genomics, stochastic modelling and probability theory.

The applicant should also have a strong commitment to teaching and the supervision of research students. The incumbent will be involved in the teaching and development of a new data science curriculum at both the undergraduate and postgraduate levels. The successful candidate will be appointed at either Academic Level B or C, dependent upon the Selection Panel’s assessment of their application.

Applications to be submitted by 25th October 2019. Late applications will be accepted until 8th November 2019 but may not be fully considered.

All application materials to be submitted via MathJobs. Note that a Selection Criteria document is part of the Australian application format and informs our discussion. For further information and to view the Position Description and Selection Criteria please go to

In the Australian system a (Senior) Lecturer is equivalent to an Assistant Professor.

An Equal Opportunity employer.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
+61 3 8344 7887
School of Mathematics and Statistics
University of Melbourne
Parkville VIC 3010

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