Research Fellow in Machine Learning (Level A/B/C) from $72,829 -$144,368 per annum including an employer contribution of up to 17% superannuation may apply.
We are seeking to appoint a fixed term position for 1.5 years duration (with possibility of extension to 3 years) to work on a research project in the areas of Adversarial Machine Learning and Robust Machine Learning.
This is an opportunity for a high-achieving researcher to join a world-leading research group in Computer Security and Machine Learning as well as Computer Science department ranked 48th in the world and The University of Adelaide ranked in the top 1% of Universities worldwide.
You will work on a research program to improve the trustworthiness of systems integrating machine learning models and promote secure designs. The project aims to develop theory, techniques, tools for building more robust and resilient machine learning systems. 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).
In this role you will:
- Investigate the area of adversarial machine learning and data poisoning attacks.
- Investigate theoretical aspects of machine learning.
- Develop new ideas and concepts for defending against adversarial and data poisoning attacks, formulate solutions, implement, and assess the robustness of the methods against attacks.
This is an outstanding opportunity to advance your machine learning and artificial intelligence knowledge and career and explore the emerging area of machine learning security with two world-class institutions in a world-leading environment.
The University of Adelaide is a member of Australia’s prestigious Group of Eight research-intensive universities and ranks inside the world’s top 100. In the Australian Government’s 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 that’s highly valued by our local and global communities. Here you’ll work in one of the world’s most talented and creative machine learning teams, with constant research–engineering collaboration. You’ll use state-of-the-art technology and you’ll be based in the heart of one of the world’s top 10 most liveable cities.
To be successful 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 of the following areas:
- Adversarial machine learning (attacks and defences)
- Deep learning in general and/or attacks against models and defences
- Machine learning domain expertise working with text, software, networks, malware, sequential data or time series data and discrete data.
- Programming experience and expertise in Python, or C++.
- Expertise in one or more deep learning tools such as: PyTorch, TensorFlow, Keras.
- Track record of publications in leading conferences and/or journals in Computer Vision, Machine Learning, Artificial Intelligence, Optimisation, Computer Security, commensurate with experience and opportunity.
- A strong work ethic and creativity evidence by key ideas generated in published research/thesis.
- Fluency in written and spoken English, with an ability to communicate scientific ideas to an expert audience
- Commitment to the principles of equity, diversity and inclusion
Level B (in addition to the above):
- The ability to work well independently, and as a member of a broader team, including with industrial partners
- A strong track record of generating new ideas and quality research outputs as evidenced by high quality publications in one or more of machine learning, artificial intelligence, computer security conferences and/or journals commensurate with experience and opportunity.
- Demonstrated ability to attract and/or supervise honours research students as evidence by one or more of: excellent grades, awards, published work; or equivalent experience in the supervision of junior staff in related projects
- Demonstrated ability to conduct independent research with limited supervision.
Level C (in addition to the above):
- Post-doctoral research experience (industry and/or academia).
- A strong track record of building new research directions and leading quality research programs in the area of machine learning, artificial intelligence and/or computer security evidenced by one or more of: investigator roles in grants, contract research, consultancies, media stories, joint publications with project partners, patents, commercialisations or other non-commercial outcomes.
- Demonstrated ability to attract and/or supervise high quality postgraduate research students as evidence by publications from supervised students; or equivalent experience in the supervision of junior staff in related projects and research outcomes achieved.
- Demonstrated ability to lead successful research projects
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 and 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. And 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. And 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 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. The Faculty actively 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 11:55pm, 5 September 2022.
For further information
For a confidential discussion regarding this position, contact:
Associate Professor, School of Computer Science
P: +61 (8) 8313 0066
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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