Associate / Full Professor In Statistical Data Science

The University of Melbourne would like to acknowledge and pay respect to the Traditional Owners of the lands upon which our campuses are situated, the Wurundjeri and Boon Wurrung Peoples, the Yorta Yorta Nation, the Dja Dja Wurrung People. We acknowledge that the land on which we meet and learn was the place of age-old ceremonies, of celebration, initiation and renewal, and that the local Aboriginal Peoples have had and continue to have a unique role in the life of these lands.
Opportunity
The School of Mathematics and Statistics seeks to expand its expertise in Statistical Data Science with appointment at Associate (Level D) or Full (Level E) Professor, depending on the level of previous experience in teaching, research, and leadership. The appointee is expected to contribute significantly towards research, scholarship and teaching, and, with time, leadership, and will make independent and original contributions in their discipline or across disciplines that are recognised as distinguished internationally and have a significant impact on their field of expertise.
The successful applicant's work will complement the established research and education strengths of the School which include algebra, analysis, geometry, topology, number theory, continuum modelling, mathematical biology, mathematical physics, discrete mathematics, operations research, mathematical and applied statistics, Data Science, statistical genomics, stochastic modelling and probability theory. This position will establish, foster and strengthen the Faculty's research impact agenda where impact is interpreted broadly including in field-leading research, industry, government and not-for-profit organisations.
Full role description can be found in the attached position description.
About You
You will have a strong track record in Statistical Data Science, and be a future leader with the ability to develop capability and foster excellence and impact in your area of expertise.
You will possess;

• A research doctorate or equivalent in a discipline relevant to Statistical Data Science.
• Attained international standing in the discipline of Data Science, evidenced by a growing and sustained record of publications in peer reviewed journals, articles, and/or other outputs, outreach, and other non-traditional research outputs.
• Demonstrated record of attracting funding and to successfully manage those research activities.
• Demonstrated strategic perspective in research and ability to engage with relevant professional and industry bodies and stakeholders to foster collaborative partnerships.

Full search criteria can be found in the position description attached.
The Faculty of Science is deeply committed to creating a diverse, inclusive and equitable environment that welcomes and values all people. We firmly believe that diversity, including in senior leadership, is essential to our Faculty's continued success.
About Us
School of Mathematics and Statistics
The University of Melbourne's School of Mathematics and Statistics is one of Australia's leading mathematics and statistics schools. It has achieved this status through the high quality of its research and teaching programs. The School offers a wide range of subjects to undergraduate and postgraduate students and is involved in aspects of community life that impact on the interests of the School and the discipline.
The School of Mathematics and Statistics has a total of 90 continuing teaching and/or research staff; 37 research only staff and consultants; 19 academic specialists and 16 support staff. In 2023, there were 143 Research Higher Degree and 189 Coursework Master of Science students. The School has had 10 staff members inducted as Fellows of the Academy of Science.
The school currently hosts one ARC Centre of Excellence and one ARC Industrial Transformation Training Centre, and has hosted four ARC Laureate Fellows, thirteen ARC Future Fellows and twenty-four DECRA Fellows.
Employee Benefits
We offer generous employee benefits to help maximise your success. These include flexible and family friendly working conditions, salary packaging, internal School and Faculty grant schemes including a dedicated scheme for women and generous leave provisions. This is a fantastic opportunity to work in a culturally rich and values-based environment.
To find out more, go to
How to apply
Your application submitted should include a CV along with your point-by-point responses to the selection criteria found in the Position Description for the role.
Advertised: 05 Mar 2024 12:05 AM AUS Eastern Daylight Time
Applications close: 14 Apr 2024 11:55 PM AUS Eastern Standard Time