Applications are invited for a position as PhD candidate (between 80% - 100%) between the MedGIFT research group at the University of Applied Sciences Western Switzerland (HES-SO), Institute of Information Systems, Sierre and the Service of Nuclear Medicine and Molecular Imaging (SNMMI) at CHUV, Lausanne. The successful applicant will join a motivated and unique multidisciplinary team of researchers working on machine learning, medical image analysis, and cancer computational biology. Much of the work will be in close collaboration with clinicians and other external partners on a Swiss and International level. The objective for the position is to develop state-of-the-art medical image analysis to study the relations between radiomics imaging biomarkers and actual cancer biology.
The candidate must have a Master in computer science, mathematics, physics, engineering, medicine, biology or a closely related field. The applicants are expected to have knowledge, genuine interest and research experience in several (but not necessarily all) of the following topics: machine learning, applied statistics, image processing, computational biology and big data techniques. Practical software development expertise in Java, Python, Matlab and data science frameworks such as TensorFlow, R and Weka is required. Experience in the medical field is an advantage. Good knowledge in English is mandatory. French and German are the spoken languages in Sierre: some knowledge of the latter is beneficial.
We expect participation in international initiatives and conference travel. Applications should include a letter of motivation, a curriculum vitae, and names and addresses of two referees. If sufficient mutual interest develops then referees will be contacted to assure suitability for the position. Successful applications are subject to academic approval; the selected candidate will be enrolled in the Life Science Doctoral School of the University of Lausanne.
The offered salary is competitive, and the quality of life in Western Switzerland is very high.
Prof. Dr. Adrien Depeursinge,
University of Applied Sciences Western Switzerland (HES-SO)
TechnoArk 3, CH-3960 Sierre, Switzerland
(c) GdR 720 ISIS - CNRS - 2011-2018.