The University of Oregon Computer and Information Science Department invites applications for a tenuretrack position of Assistant Professor in High-performance Data Science, to begin in fall 2018. We seek candidates specializing in data analytics, computational science, and/or AI applied to large scientific data, with a particular domain emphasis on Physics, Chemistry, Earth Sciences, or Psychology. We are especially interested in scholars who will enhance the department’s existing strengths in machine learning, deep learning, and data mining.
This search is part of a presidential initiative to establish excellence in data science at the University of Oregon (see https://provost.uoregon.edu/data-science), oriented toward solving significant problems in science and society. As part of this initiative, the university is building a cross-disciplinary curricular and research data science program, which is supported by the university’s recently launched High Performance Computing Research Core Facility – a supercomputing cluster with extensive computational and data storage capacity. There will also be opportunity to become involved with the university’s Knight Campus for Accelerating Scientific Impact.
Minimum Requirements: Ph.D. in Computer Science or related field in hand by time of appointment. Salary is competitive.
Candidates are asked to apply on line at https://academicjobsonline.org/ajo/jobs/10509 by submitting an application letter, a curriculum vitae, a research statement, a teaching statement, and at least three letters of recommendation by 15 January 2018, or until the position has been filled. If you are unable to use this online resource, please contact email@example.com to arrange alternate means of submitting application materials.