Research Fellow, Research School of Computer Science

Location
Canberra, Australia
Posted
28 Nov 2018
End of advertisement period
13 Jan 2019
Ref
527510
Contract Type
Fixed Term
Hours
Full Time

Classification: ANU Academic Level B
Salary package: $98,009 to $111,365 per annum plus 17% superannuation 
Term: Full time, Fixed term (2 years)

  • Opportunity to work with the Australian government on a high-impact strategic project
  • Multi-disciplinary approach to solving complex real-world problems
  • Flexible work arrangements

Position overview

The ANU College of Engineering and Computer Science (CECS) is dedicated to contributing to The Australian National University’s reputation for excellence in research and research-led education, bringing together expertise across a range of areas to reimagine the role of engineering and computing for future generations. CECS is a diverse and vibrant community dedicated to discovery and to making knowledge matter. Our academics and students are engaged in ground-breaking, cutting-edge research, in exciting areas such as renewable energy, robotics, telecommunications, biomaterials, human-machine interaction, and artificial intelligence.

The Research School of Computer Science (RSCS) is unique in Australia. It includes a creative mix of staff and students that embrace the breadth of computer science profession. It is a diverse and vibrant community dedicated to discovery and to making knowledge matter. It contains world-class academics undertaking high-quality research, training of research students and delivering coursework teaching programs.

This position is a fixed term appointment for two years to contribute to a strategic collaborative project between ANU and CSIRO's Data61 to develop an open-source and scale-able graph analytics platform in partnership with key agencies in the Australian government. Applications are particularly invited from researchers whose expertise are in the areas of Machine Learning on Graphs, Intelligent Agents, Distributed Graph Databases and Cryptography and whose breadth of vision reaches across traditional discipline silos. We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break or who have achieved excellence in careers outside of academia.

For further information about these positions please contact Associate Professor Kee Siong Ng; 

P: 02 6125 3259

E: keesiong.ng@anu.edu.au

Closing Date: 13 January 2019

Position Description: CECS Academic Level B - Machine Learning on Graphs.docx

ANU values diversity and inclusion and believes employment opportunities must not be limited by socio-economic background, race, religion or gender. The University actively encourages applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is policy in the ANU College of Engineering and Computer Science to require selection panels to seek a gender balance when compiling shortlists of candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. This also includes generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, ANU school holiday programs, and childcare facilities on campus. For more information, please visit http://hr.anu.edu.au/employment-at-anu

Application information

Applicants must apply online via the ANU recruitment portal and should upload the following separate documents:

  • A detailed curriculum vitae including a full publication list and the names and contact details of at least three referees (preferably including a current or previous supervisor). If your CV does not include referees you can complete these online when prompted in the application form.
  • A statement addressing the selection criteria.
  • A 1-2 page statement outlining your approach to coursework education and student project supervision.
  • A 1-2 page statement outlining your research objectives for the next 3 years if appointed.
  • Other documents, if required.

Applications which do not address the selection criteria may not be considered for the position.

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