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capable of working on multiple topics are highly encouraged to apply. Applicants must have an extremely strong background in applied mathematics and scientific computing and must hold a PhD degree in
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settings. Qualifications: - Applicants must have a PhD in Computer Science or related field. - Experience in one or more ML domains, such as deep learning, reinforcement learning, or human-centered ML
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exemplified by a strong publication record. Previous experience on Computer Vision and Pattern Recognition (CVPR) and International Conference on Robotics and Automation (ICRA) is necessary. Salary range In
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, AI, and/or computer vision. The candidate is expected to work in a highly collaborative multi-disciplinary environment with other post-doctoral associates, PhD and undergraduate students, as
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machine learning and computer vision are preferred. Applicants should have a Ph.D. in Computer Science, Electrical Engineering, Statistics, Bioinformatics, Machine Learning, Physics, Applied Mathematics
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, Python, and ROS as well as a track record in publishing in international conferences and journals in the area of robotics, computer vision, and control. We welcome applicants from recent PhDs and