The School of Mathematics and Statistics at the University of Melbourne is seeking a qualified and enthusiastic Research Fellow to join a dynamic research program in the broad context of Data Science.

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.

This position is affiliated with the recently launched Melbourne Centre for Data Science at the University of Melbourne, an initiative partnered between the School of Computing and Information Systems and the School of Mathematics and Statistics. The position is housed within the School of Mathematics and Statistics, and will report to Professor Howard Bondell, Co-Director of the Centre.

The position offers a rare opportunity to join a growing Data Science initiative and allows for both a multi-disciplinary environment as well as the continued development of an individual research agenda.

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

To view the full details and to apply:

http://jobs.unimelb.edu.au/caw/en/job/904375/research-fellow-in-data-science