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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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control, and Simultaneous Localization and Mapping (SLAM) is desired. The position is open to PhDs with background in robotics, controls, AI, and/or computer vision. The candidate is expected to work in a
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Doctoral Researcher to join a project focused on developing signal processing tools for next-generation brain-computer interfaces. Our laboratory tackles a diverse set of data science problems within
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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