We seek outstanding applicants contributing to the cutting edge development of the core of Statistics and Data Science including theoretical statistics, general statistical methodology, computational statistics, and other areas.
The candidate is expected to collaborate with other faculty in the Technology and Education and Data Core groups with the goal to acquire, manage, analyze, interpret, and transform data into accurate, consistent and timely information that can help us further identify, understand, and control the burden of health-related challenges.
The search focus shall include candidates with depth of expertise in fundamental aspects of data science and machine learning, including but not limited to statistical/machine learning, signal processing, computer vision, image/video processing, reinforcement learning, algorithm design, decision optimization and automation.
Stanford Data Science and the Wu Tsai Neurosciences Institute invite applications for a tenure-track appointment at any level in data science, focusing on theoretical and computational neuroscience. Applicants are expected to have a doctoral degree in statistics, data science, psychology, computer science, neuroscience, mathematics, or related disciplines.
The cohort hires will consist of four tenure-track faculty at rank of assistant or associate professor who will work collaboratively across disciplines to develop undergraduate curricula and research programs at the intersection of data science, climate science, and environmental analytics.
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