The Machine Automation, Perception, and Learning (MAPLE) lab in the Computer Science Department is seeking a postdoctoral scholar for a multi-institution collaborative project in robotic surgical automation. Specifically, the prospective candidate will work on multi-modal intraoperative reconstructions of surgical scenes that can account for manipulations by the surgical instrument. The candidate is expected to develop novel algorithms that push the boundaries of multi-modal sensor fusion.
Department |
Computer Science |
Full Description |
The Machine Automation, Perception, and Learning (MAPLE) lab in the Computer Science Department is seeking a postdoctoral scholar for a multi-institution collaborative project in robotic surgical automation. Specifically, the prospective candidate will work on multi-modal intraoperative reconstructions of surgical scenes that can account for manipulations by the surgical instrument. The candidate is expected to develop novel algorithms that push the boundaries of multi-modal sensor fusion.
Specific responsibilities include implementing a simultaneous localization and mapping framework that can take as input multiple modalities including endoscopic video, robot kinematics, and ultrasound images. The framework should incorporate template information based on pre-operative imaging. The candidate will work with other teams at other institutions to ensure that the scene reconstructions are suitable for enabling automation tasks. The candidate will also work with Prof. Jie Ying Wu to mentor graduate students on this project and work with the multi-institutional team to meet regular milestones.
The prospective candidate should have a background in computer vision, machine learning, and robotics. They should hold a Ph.D. in computer science, computer engineering, electrical engineering, or related disciplines.
The following skills are required: • Strong time management skills to ensure each component of the project is progressing on track to meet deadlines • Team management and ability to collaborate both at Vanderbilt and with partner institutions • Proficiency in Python and C++ • Strong verbal and written communication skills • Strong publication record in computer vision and machine learning
The following skills are highly desired: • Proficiency in ROS • Familiarity with simultaneous localization and mapping algorithms • Experience working with surgical robots
The appointment starts in July 2024 and is expected to continue for three years, with a possible promotion to research assistant professor in year three, contingent on the availability of funds and mutual agreement. |
Application Details |
Candidates should submit a cover letter describing your interest in the project and how it fits in your career trajectory, your detailed CV, your two most relevant publications, and the names and contact information of at least three references. Please send the material to Prof. Jie Ying Wu directly (jieying.wu@vanderbilt.edu). Applications will be reviewed on a rolling basis until the position is filled. |
Contact |
Jie Ying Wu jieying.wu@vanderbilt.edu |
Posted |
2024-04-01 16:19:30 |
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