PhD Student or Postdoc in Biomedical Image Computing

Several funded research opportunities are available in the Biomedical Image Computing Group at the University of New South Wales, Sydney, Australia. The group is based jointly in the School of Computer Science and Engineering and the Graduate School of Biomedical Engineering within the Faculty of Engineering. Research in the group focuses on the development of advanced computational methods for automated image analysis and downstream data analytics to improve the reliability and throughput of imaging based studies in medicine and biology. Applications include medical diagnostics, therapy planning and monitoring, population screening, and fundamental research in the health and life sciences. Strong collaborations exist with local and (inter)national hospitals, medical research centers, and strategic research consortia, providing challenging data and problems requiring powerful solutions.

Postdoc Position
A full-time postdoctoral research position is available in the area of deep learning for biomedical image analysis. The computational methods developed in the group are increasingly based on machine learning using deep artificial neural networks. To support ongoing research in the next 2-3 years and to explore fundamentally new approaches to deep learning, we seek to hire a (senior) researcher (Level A or B) with strong expertise in this area.

The selection criteria for this position include:

• PhD degree (or soon to be awarded) in biomedical image computing or related area.
• Strong expertise in machine learning and in particular deep neural networks.
• Demonstrated ability to conduct independent research with limited supervision.
• Demonstrated track record of relevant journal and conference publications.
• Demonstrated ability to work in a team and collaborate across disciplines.
• Ability (demonstrated if more senior) to supervise research students.

PhD Positions
Scholarships are available for top-class MSc or four-year honors BSc graduates seeking to undertake a research program at doctoral level leading to the PhD degree based on a solid thesis. Possible research topics include histopathological image analysis for fast and accurate cancer diagnosis, radiomics for imaging biomarker discovery in neurodegenerative and other diseases, neuronal cell and network image analysis to understand brain function, muscle tissue segmentation and deformation analysis to support longitudinal studies of muscular development, or related topics depending on own interests. All projects will involve the use of deep learning and other advanced artificial intelligence methods.

The selection criteria for these positions include:

• MSc or honors BSc degree in computer science or other relevant area.
• Experience with machine learning and in particular deep neural networks.
• Demonstrated affinity with biomedical image processing and analysis.
• Track record of relevant journal and conference publications.
• Ability to work in a team and collaborate across disciplines.

How to Apply
To express your interest in any of these positions, send the following information to Erik Meijering:

• Curriculum vitae listing your training, expertise, publications, awards, prizes.
• Transcripts of under/postgraduate certificates and lists of followed courses with grades.
• Letter of up to one page describing your motivation and personal research interests.
• List of at least two referees with their contact details.