Position: PhD position in deep learning for tumour segmentation in images
Institution: Aarhus University, Department of Clinical Medicine
Location: Aarhus , Denmark
Application closes at: May 25th, 2020 23:59
Call for applications for a fully financed PhD project.
The research project for this position is focused on developing clinically useful tools for (semi-)automatic segmentation of head and neck tumours. The development of segmentation algorithms will be performed in close collaboration with other PhD students and postdocs in the research group.
For the project we have a large dataset of over 500 patients available, including CT, PET, and MR imaging data, with corresponding manual tumour segmentations from the clinic. The project is conducted in close collaboration between the medical physics and clinical oncology environments. We want to develop tools that can actually help the clinical oncologists in their daily work. That means that part of the research in this project will be focused on the interaction between the physicians and the neural networks.
For deep-learning we have a dedicated workstation available in the research group with two NVIDIA Quadro RTX8000 cards. The project is embedded in the research group of Professor Stine Korreman, and you will be co-supervised by Jasper Nijkamp.
The medical physics research group is embedded in the joint oncology research environment at Aarhus University Hospital, and housed at the Danish Center for Particle Therapy. The research environment is well-established and of highest international standard, with research activities in radiation oncology bridging translational and clinical research. More than 30 PhD students and postdocs and more than 10 senior full-time researchers are working in this inspiring environment. Aarhus University has a PhD program in clinical medicine at the Faculty of Health.
- Master degree in physics, medical physics, (bio-)engineering, computer science or similar.
- Prior experience in programming (python/C++/Matlab).
- Analytical skills and ability to work independently.
- Good communication skills relevant for working in an international research group and for multi-disciplinary collaboration.
- Fluency in English (oral and written).
- Prior experience with deep-learning is a great advantage.
- Prior experience in radiation oncology is an advantage.
How to apply
Application deadline is 25 May 2020 23:59 (midnight) CET. Only applications submitted via the Aarhus University website will be accepted. Please apply here: https://phd.health.au.dk/application/opencalls/
For information about application requirements and mandatory attachments, please see our application guide here: .https://phd.health.au.dk/application/applicationguide/applicationguide/