Wednesday 22nd January 2020
Australian Institute for Machine Learning, University of Adelaide
Official job ad:
Internal Grant-Funded Researcher (A) - School of Computer Science
Job no: 503710
Work type: Fixed term - Full-time
Categories: Faculty of Engineering, Computer & Mathematical Sciences, Level A
(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 for 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
Deadline to apply is 11.55pm Sunday 16 February 2020.
|Organization||Australian Institute for Machine Learning, University of Adelaide|