[visionlist] PostDoc Position in Machine Learning for Medical Imaging at the University of Calgary
matthias.wilms at ucalgary.ca
Tue May 18 20:08:30 -04 2021
The Medical Image Processing and Machine Learning Laboratory at the University of Calgary (http://www.ucalgary.ca/miplab/) invites applications for a full-time academic position at the level of a Postdoctoral Fellow in Machine Learning for Medical Imaging. We seek highly motivated individuals with specific research interests in medical image processing and machine learning, and especially deep learning.
Candidates should hold a PhD in computer science, biomedical engineering, mathematics or an associated program, with a track record of excellence and publications in medical image processing and deep learning. The successful applicant will be responsible for developing advanced image processing methods using deep learning techniques for structural and functional analysis of MRI and CT datasets for computer-aided diagnosis support and clinically-oriented research. We are specifically looking for candidates with innovative project ideas that can be realized within the scope of this post-doctoral fellowship. The postdoctoral fellow will also be expected to take a lead on manuscript writing and preparation, presentation of scientific material at national and international meetings, support of grant applications, and mentoring junior lab members. The successful candidate will be located in lab space adjacent to other basic and clinical scientists conducting image science research focused on stroke and other vascular diseases, epilepsy, cancer, human neurodevelopment, adult, child and youth mental health, and traumatic brain injury.
Calgary, Canada’s fastest growing major city, is vibrant and multicultural with a population of approximately one million. Situated less than one hour from the Rocky Mountains, Banff National Park, and Lake Louise, Calgary offers great quality of life and outstanding recreational activities such as hiking and skiing.
Interested candidates should submit, via email: 1) a curriculum vitae, 2) a summary of research interests including a one-page innovative research proposal, 3) a maximum of three reprints of their most relevant publications, and 4) the names and e- mail addresses of two individuals willing to provide letters of reference if requested. Please send directly to:
Dr. rer. nat. Nils Daniel Forkert
Department of Radiology
Faculty of Medicine,
University of Calgary
Email: nils.forkert at ucalgary.ca
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