| | Title: Machine Learning-based Medical Image Analysis | Posted: February 7, 2018 | | Company/Institution: University of Bern | | Location: Bern, Switzerland | | Department: Institute for Surgical Technology and Biomechanics |
Description: The Information Processing in Medical Interventions (IPMI) Lab. at the Institute for Surgical Technology and Biomechanics, University of Bern, Switzerland is look-ing for a highly motivated post-doc to develop cutting edge machine learning and medical image analysis algorithm for musculoskeletal imaging, with a focus on developing registration/segmentation algorithms for processing CT and MRI data. The position is available from March 1st, 2018. Required skills/experiences in-clude: a) Doctorate degree in Computer Science, Electrical Engineering, Applied Mathematics or related fields with knowledge and experience in medical image analysis, machine learning (especially deep learning) or computer vision algo-rithm development and implementation; b) strong publication record in major con-ferences/journals such as MICCAI, IPMI, ICCV, CVPR, ECCV/IEEE-PAMI, IEEE-TMI, IEEE-TIP, MedIA, etc.; and c) excellent programming skills in C++ or Python. Annual salary: $85,000.0 - $95,000.0 plus fringe benefits in Bern, Switzerland. The exact amount will depend on the experience. |
Application Instructions: Interested candidates should send their applications with references and school transcripts to:
Prof. Dr. Guoyan Zheng
Institute for Surgical Technology and Biomechanics
University of Bern
Stauffacherstrasse 78, CH-3014 Bern
Switzerland
Tel. +41 31 631 5956
Email: guoyan.zheng@istb.unibe.ch
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