Thursday, 28 April 2016

University of South Australia,Research Fellow in Data Mining Jobs in Australia

  • Mawson Lakes campus
  • Full time, 3 year fixed term contract
  • Salary range: $88,341 - $104,906 per annum
The University of South Australia is an enterprising and dynamic, outward-looking institution established in 1991, but built on more than 150 years of teaching, learning and research excellence of our antecedent institutions.  We are South Australia’s largest university, and continue to enjoy a strong upward trajectory across a number of key indicators and global rankings - we are ranked amongst the top 3% of universities worldwide and in the top 50 international universities under 50 years of age.

The Advanced Computing Research Centre (ACRC) is one of three University-Supported Research Centres within the School of Information Technology & Mathematical Sciences (ITMS) in the Division of Information Technology, Engineering and the Environment (ITEE).  The ACRC combines academic excellence and research experience with a highly collaborative approach to provide new and cost effective computing solutions.  The expertise of the ACRC is with three complementary areas: intelligent software engineering, virtualisation and augmented reality, and data analytics and business intelligence. 

The ACRC will be leading multiple projects within the Data to Decisions Cooperative Research Centre (D2D CRC) between 2014 and 2019. The ACRC is currently recruiting for a Research Fellow in Data Mining to contribute to research efforts in the ACRC and the School and will develop their expertise through defined research projects linked to the D2D CRC.

The Research Fellow will:

  • implement existing identity resolution technologies in software code;
  • design and develop new identity resolution technologies;
  • contribute to new ideas and approaches to support the development of new innovative technologies; and 
  • write presentations, reports, and research papers to disseminate research findings and development achievements.

The successful candidate will have a PhD in computer science or a relevant discipline, a good understanding of database integration and data mining or machine learning techniques, good programming skills in Java or another object oriented programming language and a strong track record of high quality journal and conference publications.

For a copy of the position description and to apply, please visit Working at UniSA. For further information, please contact Jade Windsor, Human Resources Consultant on (08) 8302 4046 or via email at:

CLICK HERE to access a copy of theposition description

Applications close: 9.00 am Monday 16 May 2016


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