The Percutaneous Surgery Lab (Perk Lab) is looking for a postdoctoral researcher to participate in development of novel image-guided and surgical training techniques, primarily with using ultrasound and fluoroscopy guidance. Immediate tasks will pertain to system design and application development.
The incumbent will have excellent collaborative opportunities with a diverse group of multidisciplinary researchers from medical robotics, medical imaging, computational mechanics, image modeling, and analysis; as well as with a diverse of pool of clinical collaborators. Primary research interactions will take place with the Johns Hopkins University in Baltimore (Laboratory for Computational Sensing and Robotics, www.lcsr.jhu.edu and the Center for Computer Integrated Surgery, www.cisst.org), the Harvard Brigham and Women’s Hospital in Boston (National Alliance of Medical Image Computing, www.na-mic.org, and the National Center for Image Guided Therapy,www.ncigt.org) and the University Health Network in Toronto (http://www.uhn.ca/Research). The incumbent will work closely with industrial partners and actively participate in the translation of research results to clinical trial systems. Occasional traveling to collaborators and workshops will be required.
The ideal candidate must have a strong background in computer aided medical application development with programming in C++. Experience with ITK, VTK and open source medical image analysis tools is highly desirable.
The position is open for an initial duration of 12 months, starting immediately and it will be renewable annually pending on performance.
Interested applicants should email detailed curriculum vitae, statement of research interests, research portfolio including copies of relevant publications, and a list of at least two referees to:
Professor and Cancer Care Ontario Research Chair
School of Computing,
w/ cross appointments in Surgery, Mechanical and Materials Engineering, and Electrical and Computer Engineering
Queen’s University, Kingston, Ontario, Canada
Adjunct Professor of Computer Science and Radiology
Johns Hopkins University, Baltimore, MD, USA
Emails may fall victim to spam filters or accidental deletion, so please follow up on your application with a call to Dr. Fichtinger’s cell phone at +1 (613) 583-2261.