PhD Student Position in Medical Image Analysis
"Soft-Tissue Segmentation"
Within the scope of the Swiss National Centre of Competence in Research (NCCR) for Computer Aided and Image Guided Interventions (CO-ME) the Medical Image Analysis Center (MIAC) at the University of Basel is developing methods to segment facial soft tissue.
The available challenging PhD position is part of a larger multidisciplinary project in the field of cranio maxillo facial (CMF) surgery planning. The project involves both theoretical and applied research aspects, and will be performed in close collaboration with researchers of multiple Universities in Switzerland and the MR physics group at the University Hospital in Basel in particular.
The state-of-the- art methods for segmenting anatomical structures in the head for CMF surgery planning require lot of manual intervention and is a time-consuming task. The focus of this work will thus be on automising this tedious manual segmentation task as much as possible. The problem will be addressed by using a model-based segmentation approach combined with optimised MR sequences. These MR sequences are developed in close collaboration with a PhD student from the MR physics group.
This project will be supported by top clinicians in the area. The candidate must have strong communication skills, the ability to combine basic research activities with the needs of clinicians and be willing to work in a clinical environment.
We are looking for a motivated, proactive person with a background in computer science, biomedical engineering, physics, mathematics or other related field. The candidate will have solid programming skills, as well as a good background in general engineering mathematics. A MSc degree or comparable previous experience is required to join the PhD program at our University.
Interested candidates should send their resumes with references and school transcripts to:
Prof. Dr. Philippe Cattin
Medical Image Analysis Center
University of Basel
Spitalstrasse 21
CH-4031 Basel, Switzerland
email: philippe.cattin@ unibas.ch
miac.unibas. ch
website link:
http://miac.unibas.ch/miac/index.php?id=58
Please quote 10 Academic Resources Daily in your application to this opportunity!
If you want to receive academic resources in your e-mail on daily basis, please subscribe to 10resources-subscribe@yahoogroups.com.
