(Level A) $86,587 to $94,588 per annum plus an employer contribution of up to 17% superannuation may apply
Fixed-term position available for 4 years
Build your research career within the Australian Institute of Machine Learning, School of Computer Science and contribute to an innovative project with important applications in medical image analysis
Be part of a research team investigating new deep learning modelling approaches to leverage real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence – to enable the use of these data sets for modelling deep learning classifiers.
This project involves collaborating with international machine learning partners in Germany and Portugal, and an inter-disciplinary collaboration with the South Australian Health and Medical Research Institute (SAHMRI). This position is within the Australian Institute for Machine Learning, which is an institute that conducts state-of-the-art research in machine learning, computer vision, and medical image analysis, hosting the largest computer vision and image analysis research group in Australia.
The discoveries to be made in the project will significantly increase our understanding of deep learning theory regarding optimisation and noise models enabling the development of new applications that can use previously unexplored data sets. This project represents a unique opportunity to produce future expertise for the Australian workforce, not only in university research, but in industry.
As the successful applicant, you will develop innovative machine learning methods that can use real-world large-scale image data sets containing noisy and incomplete labels and imbalanced class prevalence. The majority of your work regards the development of novel machine learning methods, but you will also actively participate at the School of Computer Science by teaching courses, performing administrative activities and have co-supervision development opportunities.
To be successful you will need:
- A PhD (or near completion) in Medical Image Analysis, Computer Vision, Machine Learning, Artificial Intelligence or other closely related areas with a first degree in Engineering, Computer Science or a related discipline
- Expertise in programming machine learning methods, especially in Python (tensorflow and pytorch), C++ and Matlab
- A record of quality research as evidenced by publications in leading journals and at conferences
- Good interpersonal and communication skills with the ability to tailor communication skills when interacting with students, researchers, professional staff and external stakeholders
- A strong work ethic, and the ability to work well independently, and as a member of a broader team, including with industrial partners
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.
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
Click the link to the online application form below and address and upload your responses to all selection criteria. Application close 11:55pm, 16 February 2020.
For further information
For a confidential discussion regarding this position, contact:
Professor, School of Computer Science
P: +61 (8) 83136164
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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