Lecturer in Computational Statistics

at  Queensland University of Technology

• $110,145 to $130,811
• Fixed-term, full-time
• Gardens Point
• Reference number: 24622
• Term: Fixed-term, full-time basis for three (3) years (or 36 months)
• Remuneration: $130,347 to $154,804 pa. Academic Level B (inclusive of $110,145 to $130,811 pa, 17% superannuation and leave loading)
• Location: Gardens Point
• Open to: applicants who have unrestricted work rights in Australia for the duration of the fixed-term appointment. In support of our strategic priority of Indigenous Australian success, Aboriginal Australians and Torres Strait Islander people are encouraged to apply. Please note that current staff wishing to be considered for secondment to this position must seek prior approval from their supervisor before submitting an application.

WHO ARE WE LOOKING FOR?

We are seeking a Lecturer in Computational Statistics to join School of Mathematical Sciences, Faculty of Science, Academic Division.
The School of Mathematical Sciences at QUT is looking to recruit a Lecturer in Computational Statistics (Level B) who is able to provide strategic capacity in both research and teaching within the School. We are seeking applicants with expertise in the development of new statistical methods. The ideal candidate will have demonstrated expertise in computational statistics, particularly in new Monte Carlo methods and their associated theory. Applications from other areas of statistical data science are welcome. The candidate will have an ability and strong interest in providing high-quality statistics and data science learning experiences for students in the QUT BMath and BDataSc degrees, as well as for students from other fields where statistics is used, such as health, science and engineering.

ABOUT US

QUT is a major Australian university with a global outlook and a ‘real world’ focus. We are an ambitious and collaborative institution that seeks to equip our students and graduates with the skills they will need in an increasingly disrupted and challenged world.
The School of Mathematical Sciences (SMS) is a vibrant, multidisciplinary school with extensive teaching and research programs covering the fields of statistics, operations research and applied and computational mathematics. There are currently 29 full-time academic staff members employed in the School, including 11 Professors. Over the past five years staff of the school have held ten prestigious Australian Research Council fellowships including a Laureate fellowship, four ARC Discovery Early Career fellowships and five Future fellowships. Two of our professors are recognised among Australia’s seven most highly cited researchers in mathematics, and QUT’s Centre for Data Science is led by a Fellow of both the Australian Academy of Science and the Australian Academy of Social Sciences. The School offers Bachelor degrees in both Mathematics and Data Science, as well as a postgraduate program at Masters (research) and PhD levels. The Bachelor of Mathematics degree has majors in our three key areas of expertise; Statistics, Operations Research and Applied and Computational Mathematics. https://www.qut.edu.au/about/faculty-of-science/school-of-mathematical-sciences School Research Profile https://research.qut.edu.au/maths/.

• A healthy work-life balance with a blend of on-campus and off-campus work arrangements for applicable positions.
• Competitive remuneration with up to 17% superannuation and leave loading of 17.5%.
• Generous maternity leave including primary carer parental leave of up to 26 weeks (including 17% super).
• Stay healthy with Fitness Passport and enjoy discounted rates on private health insurance.
• Purchased Leave Scheme - up to 8 extra weeks.
• Salary Packaging Scheme for additional superannuation contributions, vehicle leasing, and on-campus services such as childcare, parking, and gyms.
• Numerous opportunities for professional development including leadership programs and workshops, and our study assistance scheme.
• Commitment to our Indigenous Australian staff through initiatives such as the Indigenous Australian Staff Network, Cultural and Ceremonial Leave, Staff Development Workshops, and representation on university committees