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 data science in all areas. 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.

The University of Melbourne provides a wide range of opportunities for exciting research collaborations within the School, wider University and externally. There are close ties to industry and government which provides opportunities to undertake external consulting and collaboration. The successful applicant will be expected to undertake administrative tasks for the School.

This position is full-time fixed-term for 3 years. Applicants must have working rights in Australia to be eligible to apply.

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 https://ms.unimelb.edu.au/jobs

An Equal Opportunity employer.