The Computing and Mathematical Sciences (CMS) Department at the California Institute of Technology invites applicants for the position of Postdoctoral Scholar under the mentorship of Professor Anima Anandkumar. The position is funded through two R01 grants from the National Cancer Institute, in collaboration with the Center for Robotic Simulation and Education (CRSE) at the University of Southern California, with Dr. Andrew Hung as the lead Principal Investigator.
The role is focused on "Surgical AI" -- assessing the skill of surgeons, predicting patient outcomes, and discovering novel surgeon biomarkers based on multi-modal data and deep learning algorithms. These modalities include kinematics from a daVinci surgical robot, video and audio of live surgical cases, and virtual reality. Applicants would also have the opportunity to propose projects that are consistent with the CRSE's mission of training and educating surgeons. The successful applicant will work with a multidisciplinary team of surgeons, scientists, and medical students. The position is available immediately.
- Applicants must have a Ph.D. in biomedical engineering, computer science, biomedical informatics (or related fields). They must be comfortable developing machine learning models for at least one of these data modalities: kinematics, images, videos, audio, and natural language.
- Applicants must have prior programming experience in Python, C++, and strong familiarity with deep learning libraries such as PyTorch and TensorFlow.
- Applicants with experience in video processing, surgical education, and deep learning are strongly encouraged to apply.
- Applicants should have the demonstrated ability to work both independently and collaboratively with peers, communicate effectively both in written and oral form to a general audience, and contribute to the development of their peers. Ideal candidates should be excited about creating the next paradigm shift in surgery.
- An updated resume/CV
- Complete contact information for three references
- Cover letter describing past research experience, career goals, and future research interests
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