Professor in Statistcs - [Archived Advertisement]
University of Technology Sydney (View other jobs from this organisation)
Professor in Statistics
Faculty of Science, School of Mathematical and Physical Sciences
This is a fantastic opportunity for an experienced academic mentor specialising in statistics, to join a vibrant and supportive school within the Faculty of Science. A fully accomplished scholar in your own right, will provide you with the opportunity to build and mentor the next generation of academics in the discipline.
Whilst close to half of graduates from STEM fields are women, there is a significant underrepresentation of women in senior academic roles in these fields.
The University of Technology (UTS) has a strong commitment to diversity and inclusion, including a focus on increasing gender equity in STEMM through our participation in the Science in Australia Gender Equity (SAGE) pilot of the Athena SWAN program and initiatives such as our Research Equity Initiative and we strongly encourage and welcome applications from female academics for this role.
UTS has a strong tradition in Statistics, and you will complement and enhance the existing research strengths centered on the research groups of Distinguished Professors Louise Ryan and Matt Wand, as well as developing your own research directions and portfolio.
The Mathematical Sciences Discipline at UTS consists of a dynamic group of researchers, which is growing rapidly through a series of strategic hires in the areas of Statistics and Data Science. This role forms one of three positions (we are also recruiting two Lecturer/Senior Lecturer posts) in the discipline of Statistics to continue to meet the growing student demand across a number of Faculties and Schools
This is an integrated position, where you will play a key role in teaching and development of current academic programs within the Discipline, as well as in existing or new collaborative programs with other faculties or units in the University. You will be actively involved in developing and teaching subjects within your specialisation, integrating research into the teaching program, engaging in and promoting innovative teaching practices in line with the UTS model of learning.
Our expectation is that you will participate in coordinating and delivering undergraduate classes at all levels, and will contribute to the development of the curriculum in Mathematics and Statistics. You will also contribute to the management duties of the School and Faculty, commensurate with the role of Professor. The School encourages both pure research and outwardly focussed research with impact in business and society.
While candidates from all areas of Statistics are encouraged to apply, the Discipline is particularly seeking applicants who can lead innovation in research in statistical methodology and/or computational statistics, and with a strong track record in applications-oriented research.
In return you will get to work in state-of-the art teaching, learning and research facilities with a collaborative cohort of academics. You will receive solid support from the institution in regard to research and you will also be able to avail of opportunities to conduct research with reputed scholars from across the University through interdisciplinary research centres at UTS.
It is a great time to join the School of Mathematical and Physical Sciences and we very much look forward to receiving your application.
For more information on the role and the selection criteria please download the full position statement by clicking apply and scrolling to the bottom of the page
Remuneration & Benefits
Base Salary Range: $185,713 pa (Level E)
This role attracts 17% superannuation in addition to the base salary.
The University is a family-friendly workplace and offers employees a wide range of work options including flexible work practices, work-based child care centres (places subject to availability), generous parental leave and support for staff with carer responsibilities.
This appointment would normally be on a continuing full-time basis, however other more flexible arrangements could be considered.
How To Apply
Prior to commencing your application for IRC109496 , please review the Position Statement and the relevant selection criteria- click on the apply link to be taken to the relevant page on our website.
You are required to address the selection criteria in your submission in a separate document using the Response to Selection Criteria template provided.
Please note that only those applications submitted via the UTS online recruitment system will be accepted. Current UTS employees should apply through their UTS Employee Self Service function.
Specific enquiries on the application process or issues with your application may be directed to Abdul Macauley via email at firstname.lastname@example.org or on +61 (0) 2 9514 1080.
Specific enquiries on the role may be directed to Professor Christopher Poulton via email at Christopher.Poulton@uts.edu.au
Please be advised that as part of the selection process that you may be requested to deliver a presentation, the audience for which may include individuals not on the Selection Panel.
Closing Date: 25th June at 11.59pm (AEST)
We are committed to diversity and social inclusion, evidenced by our WGEA Employer of Choice citation, Wingara Indigenous Employment Strategy and the UTS Access and Inclusion Plan. We welcome applications from women (particularly for senior roles), Indigenous Australians, people with disability, those who identify as LGBTIQ and applicants from culturally and linguistically diverse backgrounds.
- Closing Date:
- 25 Jun 2018
- NSW - Sydney
- Work Type:
- Full Time
Statistics and Analytics
Teaching - Tertiary