Work type:Fixed term - Full-time
Categories:Faculty of Engineering, Computer & Mathematical Sciences, Level A
(Level A) $89,610 to $96,007 per annum plus an employer contribution of up to 17% superannuation may apply
Fixed-term, full-time position available for 2 years
Make significant contributions to the state of the art in optimising and automating cyber security operations and security big data analytics
Working in close collaboration with our research partners from industry and government sector and other research providers to develop next generation of methods and tools for supporting engineering of big data security analytical systems.
You will be joining a team that is highly knowledgeable and skilled in developing and evaluating software security and resilience solutions by leveraging applied Big Data, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL) and Natural Language Processing (NLP) approaches and technologies. This position is particularly focused on research on inventing new knowledge and tools for supporting Software Security Intelligence by leveraging ONSIT data and approaches, advanced data analytical frameworks, contemporary software engineering paradigms like DevOps or Progressive Web Applications (PWA). 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 secure and resilience hyper-connected, hyper-mobile, and hyper-virtualised software systems aimed at supporting mission critical processes. This position also presents several opportunities to engage and collaborate with our international collaborators in Europe and USA.
To be successful you will need:
- PhD in Software Engineering, Systems Engineering or closely related area.
- Demonstrated ability in conducting and publishing high quality research on one or more of the topics related to Software Security Intelligence, Security and Privacy by Design and Engineering Software for Information Interoperability and Resilience.
- Demonstrated knowledge and experience with Empirical Research using qualitative and quantitative methods, applied ML/DL/NLP for quality of software and development processes and Security in.
- Demonstrated knowledge and experience or willingness to quickly learn and apply qualitative and quantitative data analytical tools and well-known ML libraries/packages.
- 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 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. Learn more at: https://www.adelaide.edu.au/hr/ua/media/5268/staff-values-and-behaviour-framework_0.pdf
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 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
Click on the 'Apply Now' button to be taken through to our online application form. Please address and upload your responses to all of the selection criteria. Applications close 11:55pm, 27 June 2021.
For further information
For a confidential discussion regarding this position, contact:
Professor Ali Babar
School of Computer Science
P: +61 (8) 8313 4478
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.
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