PostDoc on Semi-Automated Surgical Implant Design
Research program title
In-Hospital Semi-Automated Design of Custom-Made Surgical Implants
Thomas Fevens, Concordia University, and Kevin Lachapelle, McGill University
The 3D Graphics research group (www.cse.concordia.ca/3dgraphics/) at the Department of Computer Science and Software Engineering, Concordia University, in collaboration with surgeons at the Department of Surgery, McGill University, currently offers a two year Postdoctoral Position in the field of Medical Imaging through the prestigious Horizon Postdoctoral Fellowship program.
Recent advances in three dimensional printing technology and material science has led to the 3D printing of patient-specific anatomically correct replica models, surgical guides or cutting jigs or splints, and custom-designed implants. While advances in medical imaging technologies and 3D printing has made it possible for a surgeon to have tactile representations of a patient's anatomical structure, the next stage is to automate the manufacture of custom-designed implants. Currently, the process of design and manufacture such custom-made implants is time-intensive and out-sourced by hospitals to third party companies. The research program of the postdoctoral fellow will focus on the development of a semi-automated in-hospital system for the design and manufacture, through 3D printing, of custom designed patient-specific implants while incorporating key input decisions to be made by the surgeon. The integration of the process back into the hospital will lead to shorter wait times until surgery and, as a result, potentially fewer medical complications. Also, it will enhance the ability of surgeons to innovate with novel surgical devices and new biomaterials.
The postdoctoral fellow will also take part in the Surgical Innovation program (www.mcgill.ca/surgery-create/), a collaboration between McGill, Concordia and ETS.
The Horizon Postdoctoral Fellowship is valued at $47,500 per year plus benefits and full access to Concordia’s services, including GradProSkills.
Academic qualifications required
PhD in Computer Science, Software Engineering, Computer Engineering or related fields with experience in Medical Imaging.
- Applicants must not currently hold a postdoctoral appointment at Concordia
- Priority will be given to postdoctoral fellows who have obtained their PhD from another university although in exceptional cases Concordia graduates may be considered
- Applicants must adhere to the postdoctoral fellow eligibility criteria outlined in Concordia University’s Postdoctoral Policy
Timeline and application process
- Application deadline: open until the position is filled but no later than May 1, 2017
- Fellowship start date: no later than July 1, 2017
- Submission process: all documents must be submitted to Cynthia Raso (Horizon.Postdocs (at) concordia.ca). Please include the reference number with your application
- One to three (1-3) page research statement demonstrating fit with the program described above.
- Current curriculum vitae demonstrating research excellence and a capacity for leadership in the domain (maximum 5 pages).
- Two letters of reference from academic supervisors or current employers to be sent via e-mail directly to Cynthia Raso