Postdoctoral Research Assoicate at University of North Carolina Chapel Hill

University of North Carolina Chapel Hill is pleased to invite applicants to apply for a postdoctoral fellowship position in signal processing. Applications will be evaluated on a continuous basis.

We are seeking a talented driven postdoctoral fellow to join the personnel of an NIH funded project on surgical training. We are developing a fully immersive, high fidelity virtual reality (VR) trainer that will improve the current standard of Oral and Maxillofacial surgical training by enhancing the learning of difficult surgical skills such as craniofacial osteotomies. During the Phase I of this project, we developed a prototype that will be completed in Phase II. We believe the Osteotomy Trainer has the potential to generate market revenue while improving the training process for OMF surgeons and other related disciplines without adding risks to patients. The fellow will join the University of North Carolina School of Dentistry, which is collaborating with Kitware Inc. on this project. The postdoctoral candidate should have a strong background in Biomedical Imaging. Experience with image data processing is required.

- Ph.D. degree in Electrical Engineering, Computer Science or a related field with emphasis in Biomedical Imaging - Strong background in C/C++, Python programming languages - Experience with signal processing, statistics and image processing - Demonstrated independent research capabilities and good organizational and inter-personal skills as well as good command of written and oral English - Previous experience with open-source toolkits and applications for medical image analysis and visualizations such as ITK, VTK, and 3D Slicer is preferred - Revision control system experience (we use git) - Enthusiasm for programming, learning, problem solving, and tracking technology trends
Deadline: As soon as possible
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