Grant-Funded Researcher A/B, Centre for Defence Communications and Information Networks
(Level A/B) $88,286 to $103,078 per annum plus an employer contribution of up to 17% superannuation
A 2-year fixed term position available. Flexible work arrangements can be negotiated with the right candidates.
Contribute to research projects developing novel game theoretic methods that deliver predictable performance regardless of the strategy of the adversary.
The Centre for Defence Communications and Information Networks (CDCIN) is seeking to recruit a Grant-Funded Researcher at Level (A) or (B). Join a project developing practical adaptive game-based algorithms to protect cyber systems against non-stationary attacks and to find equilibrium solutions in wargames. The first focus is on Autonomous Cyber Operations (ACO) games to protect a software-defined networking (SDN) system against adversarial attacks. An open challenge in ACO security games is to guarantee convergence to secure networks under random, non-stationary actions of the adversary. To achieve this, we will develop a novel game solution for ACO using Hannan consistent (or external regret minimising) strategies. The second focus is on dynamic resource allocation problems in wargames, with heterogeneous agents. We will use the novel satisfaction equilibrium concept, which gives a flexible cooperative framework for agent action.
The successful applicant will work closely on theoretical and algorithm development and implementation, assist on dissemination (project deliverables, publications, etc) across multiple related projects. You will have a strong work ethic and the ability to work well independently and as a member of a broader team. You will work closely with collaborators and co-investigators across multiple schools within ECMS. You will also be fluent in written and spoken English, with an ability to communicate scientific ideas to an expert audience, both orally and written.
To be successful at a level A you will need:
- Have or about to complete a PhD in maths, engineering or computer science;
- Experience and understanding of game theory, optimisation, reinforcement learning, neural networks and other machine learning approaches, software defined networking;
- To be eligible to hold a Commonwealth of Australia Department of Defence security clearance;
- Ability to work both independently and as part of a team in a professional and collegial manner, and to build rapport with all levels of academic and professional staff within a diverse and inclusive work environment; and
- Commitment to the principals of equity, diversity and inclusion.
In addition to the above, to be successful at Level B you will need:
- Experience in working with various deep learning tools and a track record of effective deployment of these within robotics and computer vision projects – add in any additional experience that takes them to a level B.
Enjoy an outstanding career environment
The University of Adelaide is a uniquely rewarding workplace. The size, breadth and quality of our education and research programs - including significant industry, government and community collaborations - offers you vast scope and opportunity for a long, fulfilling career.
It also enables us to attract high-calibre people in all facets of our operations, ensuring you will be surrounded by talented colleagues, many world-leading. Our work's cutting-edge nature - not just in your own area, but across virtually the full spectrum of human endeavour - provides a constant source of inspiration.
Our core values are honesty, respect, fairness, discovery and excellence. Our culture is one that welcomes all and embraces diversity, We are firm believers that our people are our most valuable asset, so we work to grow and diversify the skills of our staff.
In addition, we offer a wide range of attractive staff benefits. These include: salary packaging; flexible work arrangements; high-quality professional development programs and activities; and an on-campus health clinic, gym and other fitness facilities.
Learn more at: adelaide.edu.au/jobs
Your faculty's broader role
The Faculty of Engineering, Computer and Mathematical Sciences is a thriving centre of learning, teaching and research in a vast range of engineering disciplines, computer science - including machine learning, high-level mathematics and architecture, planning and landscape architecture. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers.
Learn more at: ecms.adelaide.edu.au
If you want to change tomorrow, act today
The link below for a copy of the selection criteria and to apply:
Please ensure you address and upload your responses to all of the selection criteria.
Applications close 11:55 pm, 7 May 2020.
For further information
For a confidential discussion regarding this position, contact:
Dr Hung Nguyen
Senior Research Fellow, Centre for Defence Communications and Information Networks
P: +61 (8) 8313 6214
You'll find a full position description and/or selection criteria below: (If no links appear, try viewing on another device)
The University of Adelaide is an Equal Employment Opportunity employer. Women and Aboriginal and Torres Strait Islander people who meet the requirements of this position are strongly encouraged to apply.