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We are seeking to appoint a Post-doctoral Research Fellow (Level A/B) in Machine Learning - $71,401 to $119,391 per annum includingan employer contribution of up to 17% superannuation may apply.

A 1.5 year fixed-term position is available to work on a research project for developing Machine Learning methods for network protocol evaluation with the possibility of extension to 3 years.

This is a fantastic opportunity for a high-achieving postdoctoral researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48thin the world and The University of Adelaide ranked in the top 1% of Universities worldwide.

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 Adelaides School of Computer Science and the Australian Institute of Machine Learning, University of New South Wales, CSIROs Data61 and Defence Science and Technology Organisation (DSTG).

In this role you will have the options to purseone or moreof the following:

This is an outstanding opportunity to advance your career in cyber security, network security, computer security, software engineering and machine learning whilst exploring the area of large scale, automated, dynamic analysis of networking software with three world-class institutions in a world-leading environment.

The University of Adelaide is a member of Australias prestigious Group of Eight research-intensive universities and ranks inside the worlds top 100. In the Australian Governments 2018 Excellence in Research for Australia (ERA) assessment, 100% of University of Adelaide research was rated world-class or above, with work in 41 distinct fields achieving the highest possible rating of well above world-standard. This included Artificial Intelligence and Image Processing, and Electrical and Electronic Engineering.

Our world-renowned researchers have established a culture of innovation and a strong track record of publication in the top venues, particularly in the area of machine learning, computer vision and security. We're committed to delivering fundamental and commercially oriented research thats highly valued by our local and global communities. Here youll work in one of the worlds most talented and creative machine learning teams, with constant researchengineering collaboration. Youll use state-of-the-art technology and youll be based in the heart of one of the worlds top 10 most liveable cities.

To be successful you will need

Level A

Level B (in addition to the above)

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 ourStaff Values and Behaviour Frameworkand 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:adelaide.edu.au/jobs

Your faculty's broader role

The Faculty of Sciences, Engineering and Technology is a multidisciplinary hub of cutting-edge teaching and research. Many of its academic staff are world leaders in their fields and graduates are highly regarded by employers. TheFacultyactively partners with innovative industries to solve problems of global significance.

Learn more at:set.adelaide.edu.au

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 11:55 pm, 12 June 2022.

For further information

For a confidential discussion regarding this position, contact:

Damith RanasingheAssociate Professor, School of Computer ScienceP: +61 (8) 8313-0066E:damith.ranasinghe@adelaide.edu.au

You'll find a full 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.

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Post-doctoral Research Fellow (A/B) in Machine Learning job with UNIVERSITY OF ADELAIDE | 293182 - Times Higher Education