Postdoctoral Scientist - Center for Autonomous Robotic Surgery (Data Science Track)

Dr. Andrew Hung is looking for a Postdoctoral Scientist to join a diverse team!

To learn more about the department - Hung Research Lab | Cedars-Sinai

When the work you do every single day has a crucial impact on the lives of others, every effort, every detail, and every second matters. This shared culture of happiness, passion, and dedication pulses through Cedars-Sinai, and it’s just one of the many reasons why we rank as one of the top hospitals in the nation by U.S. News & World Report.

Are you ready to be a part of breakthrough research?

In this role, the Postdoctoral Scientist will become a key member of the Center for Autonomous Robotic Surgery. They will be expected to work independently under the direction of the PI and in close cooperation, as well as consultation, with other research staff and thought-leaders in the field of surgical robotics. The incumbent may be an ongoing member of a research team or may be employed for a limited period of time to contribute high-level skills to a specific research program. 

Primary Duties and Responsibilities

• May assist in preparation of grant proposals, but is not responsible for generating grant funds.
• May participate in publications and presentations as author or co-author.
• Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator.
• May develop, adapt, and implement new research techniques and protocols.
• Analyzes, interprets, summarizes and compiles data.
• Performs routine and complex laboratory procedures throughout the training period.
• Operates and maintains equipment and instruments.

• This role will play a pivotal role in data analytics and supervised and unsupervised development of machine learning models to provide the framework for fully automating surgical robotic tasks.  

• Experience utilizing skills in computer science and mechanical engineering to employ these AI tools to functioning robotic systems preferred

Qualifications

Education:

• Doctorate degree required. PhD or MD/PhD in Computer Science, Biomedical Engineering, Electrical Engineering, Mechanical Engineering, or a closely related field.

Experience and Skills:

• Demonstrated expertise in robotics and computer vision research, implemented on real-life systems (required).
• Proven track record of publications as first-author (as well as co-author) papers in robotics, computer vision, and/or machine learning: ICRA, IROS, RSS, T-RO, CoRL, IJRR, CVPR, ICCV, SIGGRAPH, MICCAI, TBME, NeurIPS, ICML, ICLR, Nature portfolio and Science portfolio.
• Strong quantitative and analytical skills.
• Highly motivated and able to work independently on research projects within the area of specialization.
• Demonstrated aptitude to perform experimental protocols and procedures, including detailed data collection and analysis, and operation and maintenance of specialized equipment.
• Knowledge of safety standards and maintenance of specialized equipment.