[visionlist] PhD Student Position Computer Vision
Kowal, Horst Jens (ARTORG)
jens.kowal at artorg.unibe.ch
Tue Jan 4 20:12:07 GMT 2011
PhD Student Position available: Advanced 3D Stereoscopic Navigation for Intraocular Treatment Procedures
In medicine, there has been an advent of ever more sophisticated imaging methods, surgical technology, and computer capacity for data processing in recent years. In particular, this is true for ophthalmology, e.g. the use of the various laser-modalities or the development of high-resolution optical coherence tomography. The proposed PhD project includes several aspects of clinical treatment procedures demanding individual imaging approaches.
In our group we have build individual software components for mono- and multimodal co-registration of retina images. The first objective of this PhD project is to combine the developed components with hardware in order to build a System for Computer Assisted Retinal Laser Photocoagulation.
This system should be evaluated in a clinical setup to reveal potential clinical benefits. Subsequently it should be extended towards a 3D diagnosis and treatment system for ophthalmic interventions. This 3D diagnosis and treatment system will be used in a joint project between the Institute of Robotics and Intelligent Systems (http://www.iris.ethz.ch) at the ETH Zurich and our group here at the ARTORG-Center at the University of Bern to steer, electromagnetically driven, micro robots through the human eye to collect clinical data and to perform surgical interventions.
We are seeking for a highly motivated candidate willing to work in a multidisciplinary environment together with clinicians and scientists. The project will be conducted in collaboration with the Institute of Robotics and Intelligent Systems at the ETH Zurich. This project will be supported by the Swiss National Science Foundation through the project “Computer Aided and Image Guided Medical Interventions (CO-ME)” as part of the National Center of Competence in Research.
The nature of the project demands computer vision background as well as strong programming skills in C++ and preferably in OpenGL / OpenInventor graphics. Additionally, background in Electronics would be an advantage. Applicants need to be qualified to join the Graduate Program of the Medical Faculty of the University of Bern (http://www.gcb.unibe.ch/content/index_eng.html). If you feel attracted by this project please submit a comprehensive application to the contact address listed below.
Supervisor contact:
Prof Jens Kowal: jens.kowal at artorg.unibe.ch
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University of Bern
ARTORG Center for Biomedical Engineering Research
Prof Jens Kowal, Ph.D.
Ophthalmic Technologies
Inselspital Bern
Ophthalmology Department
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