The University of Oregon
Computer and Information Science
Machine Learning – Computer Vision
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 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.
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 http://nsfcbl.cs.uoregon.edu/). 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.
Ph.D. in Computer Science or related field in hand by time of appointment.
Strong research record in the application of machine learning to computer vision.
Demonstrated commitment and contribution to institutional diversity, equity, and inclusion.
Candidates are asked to apply on line at www.academicjobsonline.org/ajo/jobs/11618 by submitting an application letter, a curriculum vitae, a research statement, a teaching statement, and at least three letters of recommendation by 15 December 2018, or until the post 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.
The University of Oregon is dedicated to the goal of building a culturally diverse and pluralistic faculty committed to teaching and working in a multicultural environment and strongly encourages applications from minorities, women, and people with disabilities. Applicants are requested to include in their cover letter information about how they will further this goal. In particular, candidates should describe previous activities mentoring minorities, women, or members of other underrepresented groups.
The University of Oregon is one of only two Pacific Northwest members of the Association of American Universities and holds the distinction of a “very high research activity” ranking in the Carnegie Classification of Institutions of Higher Education. The UO enrolls more than 20,000 undergraduate and 3,600 graduate students representing all 50 states and nearly 100 countries. The UO’s 295-acre campus features state-of-the art facilities in an arboretum-like setting. The UO is located in Eugene, a vibrant city of 157,000 within easy driving distance of the Pacific Coast, the Cascade Mountains, and Portland.