Researcher in Computer and Network Security
University of Adelaide School of Computer Science

Grant-Funded Researcher (A/B) - Computer & Network Security

Job no: 506132
Work type: Fixed term - Full-time
Campus: Adelaide
Categories: Faculty of Engineering, Computer & Mathematical Sciences, Level A, Level B

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(Level A) $89,610 to $96,007 or (Level B) $100,933 to $119,391 per annum plus an employer contribution of up to 17% superannuation may apply. 

Two, 1.5 year fixed-term positions are available to work on a project for Automatically Discovering Vulnerabilities in Internet Routing Protocols (with possibility of extension to 3 years).

This is an outstanding opportunity to advance your machine learning and artificial intelligence knowledge and career in a world-leading research group in Computer Security and Machine Learning. 

This opportunity is for a high-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning. The School of Computer Science is ranked 48th in the world and The University of Adelaide ranked in the top 1% of Universities worldwide. Notably, Adelaide is ranked the third most liveable city in the world, and the most liveable city in Australia in 2021.

As a Grant Funded researcher, you will work on a research program to address the problems in software-based emulation and assessment of networking protocols to support automated dynamic analysis of networking protocols. The project aims to develop and implement methods to automatically find vulnerabilities and attack strategies in common Internet routing protocols. You will be involved in the development of theory, techniques (such as fuzzing and machine learning methods) and tools for discovering bugs and vulnerabilities in protocol implementations.

You will work with a team of researchers from the University of Adelaide’s School of Computer Science and the Australian Institute of Machine Learning, University of New South Wales, CSIRO’s Data61 and Defence Science and Technology Organisation (DSTG).

To be successful at Level A you will need:

  • PhD (or soon to be awarded) in Computer Science or a similar discipline, or equivalent industry experience.
  • Experience and demonstrable expert knowledge in one or more or the following areas: Routing protocols and computer networks; Software vulnerability evaluations and software testing; Fuzzing; Software and network security; Machine learning in general (example areas include Graph Neural Networks, Convolutional Neural Networks, Generative Adversarial Networks, Sequence Learning algorithms); Machine learning domain expertise working with binaries, text, structured data, sequential data or time series data and discrete data; Optimisation techniques (applications in software engineering); Linux kernel(s) and operating systems; Computer architecture (understanding of how instruction are executed in various computer architectures such as Intel x86, microcontrollers)
  • Programming experience and expertise in Rust/C/C++/Python.
  • A strong work ethic and creativity, evidenced by key ideas generated in published research/thesis/products/tools.

In addition to the above to be successful at Level B, you will also need:

  • Extensive programing experience in Rust/C/C++/Python/(bash) scripting.
  • Demonstrated ability to conduct independent research and development with limited supervision.
  • A track record of generating new ideas and quality research/software products & tools as evidenced by, for example patents or publications in one or more of top-tier software engineering, computer security, machine learning, artificial intelligence conferences and/or journals commensurate with experience and opportunity. Quality can be demonstrated by one or more of: the prestige of the publication venue, citations from peers, media coverage, other forms of impact the publication has had including policy, change in practice, start-ups, attracting industrial funding to new projects, new software tools, capabilities and so on.

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 culture is one that welcomes all and embraces diversity consistent with our Staff Values and Behaviour Framework and our Values of integrity, respect, collegiality, excellence and discovery. We firmly believe that our people are our most valuable asset, so we work to grow and diversify the skills, knowledge and capability of all our staff.

We embrace flexibility as a key principle to allow our people to manage the changing demands of work, personal and family life. Flexible working arrangements are on offer for all roles at the University.

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:

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:

If you have the talent, we'll give you the opportunity. Together, let's make history.

Click on the ‘Apply Now’ button to be taken through to the online application form. Please ensure you submit a cover letter, resume, and upload a document that includes your responses to all of the selection criteria for the position as contained in the position description or selection criteria document.

Applications close 11:55pm, 20 October 2021.

For further information

For a confidential discussion regarding this position, contact:

Damith Ranasinghe
Associate Professor, School of Computer Science 
P: +61 (8) 8313 0066

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.

Advertised: 20 Sep 2021 12:00 AM
Applications close:20 Oct 2021 11:55 PM

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