Swinburne University of Technology

Swinburne University of Technology has a long, proud history of educating and training students for over 100 years. Swinburne focuses on providing high-quality, career-oriented education with strong links to industry and the community. Swinburne currently has approximately 62,000 students, including over 8,000 international students.

A Lecturer in Applied Statistics is required by the Department of Statistics, Data Science and Epidemiology. The Department conducts teaching and research in a wide range of areas, including health sciences, social sciences, psychology, business, statistical computing and data analytics. We offer online and on campus undergraduate and postgraduate qualifications in applied statistics, numerous short courses on specific statistical methods, post graduate course work degrees (i.e., Graduate Certificates, Diploma and Masters) and PhD’s by research.

Departmental members are involved in both national and international research collaborations and regularly publish in peer reviewed journals across a range disciplines, including. These include: health and medicine, epidemiology, psychology, law, business, statistical education, social sciences and science.

Skills and Experience

To be successful in this role you will need to demonstrate the following:

A full list of the selection criteria is available within the position description

Benefits

As a Swinburne staff member you will have access to many benefits and opportunities including salary packaging options, Employee Assistance Program as well as discounts on private health insurance, newspaper subscriptions, movie tickets, transport, computers and software.

To find out more about the extensive benefits offered to Swinburne employees please visit: http://www.swinburne.edu.au/corporate/hr/swin/benefits/index.htm

How to apply

Swinburne is an Employer of Choice of Gender Equality 2014 as recognised by the Workplace Gender Equality Agency. Swinburne encourages applications from Indigenous people, people from culturally and linguistically diverse backgrounds, people with disabilities, women and men.

To start an application click on 'begin' at the bottom of this page and submit a resume, cover letter and response to the Key Selection Criteria, as listed in the Position Description below.

Please do not email or send paper applications, all applications must be submitted online.

For further information about the position, please contact Christine Critchley, ccritchley@swin.edu.au; 03 9214 5430.

If you are experiencing technical difficulties with your application, please contact the Recruitment team on +61 3 9214 8600 (option 2).

Position number: 31270
Applications close at 5pm on 16 February 2015