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Open Rank Position in Machine Learning for Medical Image and Signal Processing

International students are invited for a PhD scholarship in signal processing at Chalmers University of Technology. Successful candidate will have funding to work and study for two years in Sweden. Potential candidates should apply before August 30, 2020.

Biomedical Engineering is the important interface between science, technology and medicine. Image and signal processing (signal processing scholarships) 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 (computer vision scholarships) 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 (medical imaging scholarships) 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 (Sweden scholarships) 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 (master scholarships) 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 (latest Radiology scholarship positions) 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 (undergraduate scholarships) 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 (fully funded professor scholarships) 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. Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. Read more about working at Chalmers and our benefits for employees. Application procedure The application should be marked with Ref 20190600 and written in English. The application should be sent electronically and be attached as pdf-files, as below: CV: (Please name the document as: CV, Family name, reference number) including: - CV - complete list of publications, (Divided into peer reviewed/non peer reviewed journal articles, conference contributions, etc.) - Two references that we can contact Personal letter: (Please name the document as: Personal letter, Family name, reference number) 1-3 pages where you: - Introduce yourself - Describe your previous research fields and main research results - Describe your future goals and future research focus Pedagogical qualifications: (Please name the document as: Pedagogical portfolio, Family name, Ref number) - Please use the specified format for the Pedagogical Portfolio when you compile your pedagogical qualifications. - Certificates of courses completed in pedagogy for higher education resulting in a Diploma in Teaching and Learning in Higher Education (or 15 HEC + Supervising Research Students 3 HEC), or other equivalent courses. Publications: - Copies of your most relevant publications in full format (maximum of ten publications). It is a good idea to attach the files as a PDF or compress them into a Zip file. - Copies of a maximum of ten other publications that substantiate your other qualifications (for example, educational publications and popular science articles) Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped). 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 At the department of Electrical Engineering, research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing and Biomedical engineering, and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology related to electric and electronic systems. We work with challenges for a sustainable future in society of today, for example in the growing demands concerning energy efficient systems. We offer a dynamic and international work environment with about 220 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society. The department provides about 100 courses, of which most are included in the Master's Programs "Biomedical Engineering", "Communication Engineering", "Electric Power Engineering" and "Systems, Control and Mechatronics". Read more at www.chalmers.se/en/departments/e2 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Building Futures, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterized Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!
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