Open rank position in ML for medical image and signal processing

Biomedical Engineering is the important interface between science, technology and medicine. Image and signal processing are technologies which will grow in the future effective healthcare systems. The holder of this position at Chalmers will be an important part in developing and shaping this new technology in collaboration with students, doctoral students, and fellow researchers both from Chalmers and the medical faculty.

Information about the position and division
The position is placed at the division of Signal Processing and Biomedical Engineering at the department of Electrical Engineering. Within the division we perform research in the areas of Signal Processing and Computer Vision. The Signal Processing group conducts research in the field of physical and statistical signal and image modeling and inference. We actively pursue research in target tracking, array signal processing, estimation, detection and machine learning. Projects range from development of mathematical theory, method development and applications in the area of perception for autonomous vehicles, radar systems and biomedical devices. The Computer Vision Group conducts research in the field of automatic image interpretation. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles, image-based localization, stereo and structure-from-motion. The main research problems include mathematical theory, algorithms and machine learning for inverse problems such as reconstruction, segmentation and registration.

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 methods 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 collaboration 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 CArdioPulmonary bioImage Study (SCAPIS), MedTech West, Stroke Centre West and the Department of Radiology 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 doctoral 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 learning 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 internationally 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 Engineering 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.

At Chalmers we have Assistant Professor, Associate Professor, Professor and Full Professor position levels. This position is advertised as an open-rank position on either the Associate Professor level or at the Professor level. The selection of the candidate will be based on the qualifications in relation to the seniority of the candidate. The selected level of the position will be based on the qualifications of the selected candidate.

For a definition of the academic level for the two positions, please consult our Rules of procedure. Associate professor section 6.3 and Professor section 6.2. Your qualifications and academic level will be evaluated by the department, Chalmers Faculty Appointment Committee and external evaluators.

The positions of Associate Professor and Professor require at least 15 higher education credits in teaching and learning in higher education, as well as a course in supervision of research students. External candidates are expected to complete these educational requirements within two years of employment if they are lacking these courses.

You have sound verbal and written communication skills in English. The ability to communicate in Swedish is a merit. If assigned to the position, we expect you to acquire sufficient knowledge to be able to communicate and teach in Swedish within a few years. Chalmers offers Swedish courses.

Application procedure
Please read more about the application proceudre on Chalmers webpage .

Application deadline: 30th of August - 2020

For questions, please contact:
Professor Fredrik Kahl, fredrik.kahl@chalmers.se 
Professor Tomas McKelvey, tomas.mckelvey@chalmers.se

Information about the department
Read more at www.chalmers.se/en/departments/e2