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UC Berkeley's Statistics Department invites applications for a tenure-track assistant professor jointly appointed with EECS. The position emphasizes research at the intersection of statistics, machine learning and artificial intelligence, with collaborative teaching across undergraduate and graduate programs.
The appointment aims to strengthen Trustworthy AI and Foundations of Statistical ML/AI while contributing to the department's tradition of interdisciplinary work in AI/ML.
UC Berkeley is a public university in California.
Statistics department website:
https://statistics.berkeley.edu
This position is expected to be 50% time in each of the Departments of EECS and Statistics, although an appointment at different percentages can be made by mutual agreement.
This position aims to build upon Berkeley’s legacy at the intersection of statistics and computer science in the areas of Machine Learning (ML) and
Artificial Intelligence (AI). We seek exceptional candidates who will expand our strength in shared research areas of critical need, Trustworthy AI and
Foundations of Statistical ML and AI, while supporting undergraduate and graduate teaching in Artificial Intelligence and Machine Learning (AI/ML).
Basic qualifications (required at time of application)
PhD (or equivalent international degree), or enrolled in a PhD or equivalent international degree-granting program at the time of application.