University of Oregon, Computer and Information Science Department

Position ID:UO-Computer and Information Science Department-APML [#11618]
Position Title: Assistant Professor of Computer and Information Science (Machine Learning)
Position Type:Tenured/Tenure-track faculty
Position Location:Eugene, Oregon 97403, United States [map]
Subject Area: Computer Science / Machine Learning
Appl Deadline:2018/12/15 11:59PMhelp popup finished (2018/08/10, finished 2019/09/22, listed until 2018/12/15)
Position Description:    

*** this position has been closed, and no new applications is accepted. ***

The University of Oregon’s Computer and Information Science Department invites applications for a tenure-track position of Assistant Professor in Machine Learning (ML), to begin in fall 2019. We seek candidates specializing in applications of ML to Computer Vision. Competitive applicants will be capable of outstanding research and teaching at the graduate and undergraduate levels. 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, 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.

We are a diverse and growing department with strengths in data science, high-performance computing, and networking and distributed systems. The department is looking to significantly grow its research portfolio in machine learning in order to support the presidential initiative in data science. In addition, the department is one of the university partners in the NSF IUCRC Center for Big Learning (see We particularly welcome applications from scholars who are from populations historically underrepresented in the academy, and/or who have experience working with students from diverse backgrounds.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
Computer and Information Science
120 Deschutes Hall
1202 University of Oregon
Eugene, OR 97403-1202

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