Lecturer in Data Science and Statistics

The School of Mathematics and Statistics
University of Melbourne

Closing Date: 15th December 2020

The School of Mathematics and Statistics is seeking to expand its expertise in data science and contemporary statistics.

The successful applicant is expected to develop and maintain a high-level research program in data science and statistics. Beyond the Data Science and Statistics groups, the University of Melbourne provides an outstanding environment in which to develop innovative research in data science and statistics, with opportunities for collaborations in the Melbourne Centre for Data Science, with machine learning and bioinformatics researchers in Computing and Information Systems, biostatisticians in Population and Global Health, big data research in genomics in the Melbourne Integrative Genomics 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 both local and cloud high performance computing clusters.

The candidate 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 and its applications to a variety of audiences. They are also expected to supervise research students at undergraduate, MSc and PhD levels in data science and statistics.

To be considered for this role you will have completed a PhD or equivalent research higher degree in statistics or related discipline and demonstrated research excellence in relation to career stage.

This is a full-time fixed-term position for 3 years.

For more information and to apply, click here.