Research Fellow in Computer Science

Canberra, Australia
02 Nov 2017
End of advertisement period
08 Jan 2018
Contract Type
Fixed Term
Full Time

Classification: Academic Level B
Salary package: $96,087 to $109,181 per annum, plus 17% superannuation
Terms: Full time, Fixed term (3 years)

Position overview

The Research School of Computer Science is seeking a research fellow to work on a project on use of planning in networked system security. The project is a collaboration between the ANU, CSIRO Data61 and the Australian Defence Science and Technology Group. Its goal is to develop scalable approaches to planning model construction and maintenance, as well as algorithmic advances in planning under uncertainty and partial observability that enable scaling to networks of practical size.

We are looking for outstanding PhD graduates with a track record of research in the field of AI planning, ideally with an emphasis on robust planning under uncertainty and partial observability and large-scale knowledge engineering for planning. Experience in network security, pentesting, or software/system vulnerability analysis is also desirable but not essential. The position is for 3 years (subject to successful regular project reviews), with the possibility of an extension to a maximum of 5 years.

For more information, please contact Dr Patrik Haslum (preferably by email): T: 61 02 6218 3721

Closing date: 8 January 2018

Position description:  Research Fellow - Level B - Position Description.pdf

The University actively encourages applications from Aboriginal and Torres Strait Islander people. For more information on employment opportunities, contact our Indigenous Employment Consultant on 

ANU values diversity and inclusion and is committed to providing equal employment opportunities to those of all backgrounds and identities. For more information about staff equity at ANU, visit

Application information

In order to apply for this role please make sure that you upload the following documents:

A statement addressing the selection criteria. A current curriculum vitae (CV) which includes 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. Applications which do not address the selection criteria may not be considered for the position.

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