Phd Position

vor 3 Stunden

Bern, Schweiz Universität Bern Vollzeit

Your job:
In this project supported by the Swiss National Science Foundation, your role is to research innovative ways to employ information stemming from interpretability methods used in deep learning to jointly improve model training, performance, and model interpretability. Through this new learning paradigm, we expect to make contributions to fighting the black-box nature of deep learning systems while fostering improved generalization, fast learning rates, and model performance. The findings will be applied to three different and important medical image computing tasks of multi-class medical image classification, medical image retrieval, and multi-sequence medical image segmentation, using own and publicly available medical imaging datasets, featuring multi-site-multi-class scans, and multisequence MRI datasets of brain tumor patients receiving radiation therapy.

As research scientist involved in this project you will be working actively with radiologists, neuroradiologists, as well as with biomedical engineers and other computer scientists to develop and evaluate the researched solution.

Your experience:
Applicants holding a master's degree in computer sciences, biomedical engineering, or similar, and with demonstrable previous experience in machine learning and medical imaging, are invited to apply.
- Good written and oral communication skills
- Publication record
- Excellent knowledge in Machine Learning, Deep Learning & related GPU frameworks
- Good programming skills in Python
- Excellent English language skills (written and oral)

We offer:
The research will be carried out at the Medical Image Analysis group of the University of Bern. We offer a unique scientific environment and setup conducting basic, applied and translational research activities. Switzerland has continuously ranked among the top countries in the world in terms of quality of life, and among the most innovative countries in the world. Particularly, the University of Bern has an excellent reputation in the MedTech area, which is strongly fostered by many initiatives supporting researchers. The Medical Image Analysis group has a long-lasting experience with over seventeen successful PhD graduates, including several awardees, innovation awards, spin-off companies, and technologies translated to clinical use. The group is also part of the newly created Center for Artificial Intelligence on Medicine (CAIM), a strong initiative of the University of Bern, Inselspital, Bern, the Swiss Institute for Translational and Entrepreneurial Medicine (SITEM), and it is immersed in a very active biomedical engineering network at the University of Bern.

Duration: Full-time position secured for the entire PhD duration.

Starting date: Immediate or based on availability

Applications must be included in one single PDF file, including:

- Motivation letter (cover letter)
- Recommendation letter(s) with contact information
- Updated CV

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