Post-doctoral Fellowship in Surgical Navigation and Robotics
· Brigham and Women's Hospital and Harvard Medical School
· Location: Boston, MA
· Job Number: 7065026
· Posting Date: Mar 4, 2020
· Application Deadline: Open Until Filled
We have an opening in a NIH T32 fellowship program in “Training in Image-Guidance, Precision Diagnosis and Therapy." Appointments will be for one to two years. Salary is commensurate with qualifications and years of training. PI of this opening position is Nobuhiko Hata, PhD, Professor, Harvard Medical School (https://www.linkedin.com/in/nobuhiko-hata/).
The primary goal our research to develop and validate novel robotics systems, in particular, computer vision, manipulators, and visualization and navigation methods in Image Guided Therapy. Our current research focuses on enabling/robotic technologies as applied in MRI-guided and CT-guided interventions/therapies of abdominal and pelvic organs (including radiation Oncology) and navigated pulmonary endoscope. The devices/robots are developed in-house facilities, or in collaboration with industrial partners, and integrated with the 3D Slicer navigation software (www.slicer.org). 3D Slicer has not only shown to be effective as a translational clinical research tool in our own operating room (AMIGO) but also proven to be a powerful and portable open-source engineering vehicle for collaborations. For the development of robots, we have established a process for documentation, safety and risk assessment, and validation protocol to ensure safe delivery of the robot to the clinics. The trainee of the program, therefore, can learn the end-to-end process of medical device development, technology transfer, the FDA landscape/requirements and deployment.
At the completion of the training the applicants advanced to academic and industrial research positions. See the list of alumni from the program at https://ncigt.org/alumni
Desired Skills & Experience
• Education: PhD in Robotics, Computer Science, Software Engineering or equivalent combination of training and experience • Experience: Three or more years of experience developing computer vision method and algorithm in image-guided therapy. Experience in applying graduate research outcomes in real clinical application in the operative theater is a plus. • Academic Skill: Write logically sounds and focused scientific report in scientific journals and conferences. Report the progress and schedule in research management portal the laboratory provides. • Engineering Skills: Large software systems engineering experience to include module breakdown, documentation, requirements analysis, design reviews, implementation, testing, results analysis. • Professional abilities: Willingness to work in a hospital environment. Ability to plan and run organized tests with medical robots. Good oral and written communication skills, team awareness, systems performance understanding, test preparation, results analysis, on-the-fly debugging are all required skills for this position. Excellent organizational, analytical, reasoning and problem solving skills; Ability to maintain accurate and detailed records. Ability to understand and follow directions. Ability to report to a supervisor regularly and update the progress. • The individual to be trained must be a citizen or a noncitizen national of the United States or have been lawfully admitted for permanent residence at the time of appointment. Noncitizen nationals are individuals who, although not citizens of the United States, owe permanent allegiance to the United States