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Open rank position in machine learning for medical image and signal processing
Information about the position: This position is focused on research in applications of image and signal processing in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. We aim to develop state-of-the-art meth- ods for medical image and signal processing, based on key enabling techniques from machine learning, estimation, optimization and mathematical modeling. The research will be performed in close collabo- ration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and from the international scene.
Major responsibilities: The holder of the position will perform research and apply for research grants. The department is responsible for both a bachelor program and a master program in biomedical engineering and the holder of the position will contribute both with teaching and continuous development of the two education programs. Supervision of students on bachelor, master and doctoral level is included.
The department has several ongoing medical research collaborations, for instance, with the Swedish CAr- dioPulmonary bioImage Study (SCAPIS), MedTech West, Stroke Centre West and the Department of Ra- diology at Sahlgrenska Academy, University of Gothenburg. One major responsibility for the candidate is to strengthen these collaborations and to establish new medical research collaborations with researchers at Sahlgrenska Academy and other medical partners. The candidate will supervise and co-supervise doc- toral students in a cross disciplinary research school being established jointly by Chalmers and Sahlgrenska Academy at University of Gothenburg.
Position summary: Full-time permanent employment.
Qualifications: We are looking for a researcher with solid mathematical knowledge capable of performing research at the international forefront. As a candidate you should have experience in recent machine learn- ing methods applied to problems in the field of medicine. Mandatory is a PhD degree in signal processing, image analysis or in a similar subject area with a proven track-record of i) an independent and interna- tionally recognized line of research within the field and ii) good ability to supervise doctoral students iii) ability to teach in the undergraduate and graduate curriculum at the Department of Electrical Engineer- ing https://www.chalmers.se/sv/institutioner/e2/Var-Utbildning/Masterprogram iv) have published in major scientific journals within the field v) have presented your research at main international conferences, such as ICCV, ECCV, CVPR, NIPS, MICCAI, ICASSP and EMBC vi) ability to attract research funding from external funding agencies vii) ability to perform research with collaborators from the medical sciences.
For more information and how to apply see: hhttps://bit.ly/3fgKavv
Application deadline: August 31, 2020.