Grant-Funded Researcher (B) - School of Computer Science

(Level B) $99,441 - $103,078 per annum and employer contribution of 9.5% superannuation will apply.

The University of Adelaide Enterprise Agreement 2017-2021 will apply to a successful candidate's employment at the University. The University recently temporarily varied its Enterprise Agreement. Please be advised that the salary range, along with other conditions associated with this position, may change in accordance with the variation to the Enterprise Agreement.

Fixed term contract for 18 months available from October 2020

Make significant contributions to the state of the art in optimising and automating cyber security operations and security big data analytics

Work in close collaboration with our research partners from industry and government sector and other research providers to develop the next generation of methods and tools for supporting engineering of big data security analytical systems.

You will be working in a team that is highly knowledgeable and skilled in developing and/or evaluating software security and resilience solutions by leveraging applied Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) approaches and technologies. This position is particularly focused on AI based optimised software solutions for security automation and analytics using advanced data analytical frameworks enabled by cloud and edge computing technologies. You will be expected to carry out research and development activities that would have significant impact on our industry collaborators' abilities to design, evaluate, deploy, and operate highly complex software systems aimed at predicting, preventing, and recovering from cyber attacks, which may cause enormous social and economic losses. This role includes several opportunities to engage and collaborate with our international collaborators in Europe and USA.

To be successful you will need:

• PhD in Computer Science or closely related field.
• Demonstrated ability in conducting and publishing high quality research on one or more of the topics related to applied AI, ML, Optimized Solutions for large scale system.
• Demonstrated knowledge and experience with designing and implementing algorithmic and optimization approaches for software systems.
• Demonstrated experience in supporting a research team by contributing to the mentoring of PhD and graduate/undergraduate students.
• Commitment to the principles of equity, diversity and inclusion.

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.

The Faculty of ECMS aims to increase the diversity of its staff population and applications from women are particularly encouraged. To support our staff and students in their academic lives, the faculty celebrates diversity and has a range of programs available including:

• A variety of flexible working arrangements
• Support to staff with caring responsibilities to participate in conferences, workshops, field trips and other approved work related travel
• Research support schemes designed to support female academics to enhance and promote their career
• Childcare facilities
• Women's professional development network opportunities

In addition, we offer salary packaging; 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 - and high-level mathematics. Many of its academic staff are work 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

Application close 11:55pm, 11 October 2020

For further information

For a confidential discussion regarding this position, contact:

Professor Ali Babar

School of Computer Science

P: +61 (8) 8313 4478

ali.babar@adelaide.edu.au

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.