Post-doctoral Research Fellow (A/B/C) in Machine Learning job with UNIVERSITY OF ADELAIDE | 293167 – Times Higher Education

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Post-Doctoral Fellow in Machine Learning (Level A/B/C) from $71,401 -$141,537 per annum including an employer contribution of up to 17% superannuation may apply.
We are seeking to appoint 2 x fixed term positions 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 postdoctoral 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:
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
Level A
Level B (in addition to the above)
Level C (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 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.
To learn more about working at the university of Adelaide, visit: adelaide.edu.au/aiml/career-opportunities
If you want to change tomorrow, act today
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 selection criteria for the position as outlined in the selection criteria document.
Applications close 11.55 pm, 10 June 2022.
For further information
For a confidential discussion regarding this position, contact:
Damith Ranasinghe
Associate Professor, School of Computer Science 
P: +61 (8) 8313 0066
E: 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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