Department:Computer and Information Science Rank:Assistant Professor Annual Basis:9 Month
Application Deadline December 15, 2018; position open until filled
Required Application Materials Candidates are asked to apply online at https://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 December 15, 2018, or until the position has been filled. If you are unable to use this online resource, please contact firstname.lastname@example.org to arrange alternate means of submitting application materials.
Position Announcement 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 one of nearly a dozen associated with the Presidential Initiative in Data Science at the University of Oregon. This initiative spurs intentional growth in research and education using big data and cutting-edge analytics across the entire campus (see https://provost.uoregon.edu/data-science). We are building a cross-disciplinary data science program on a foundation of strong interdisciplinary research and innovative education at a liberal arts research university. We seek scholars excited to contribute to the program’s growth through excellence in a specific academic focus, as well as through interdisciplinary collaborations across data science writ large. Data Science is supported by the university’s multi-million dollar investment in the recently launched Talapas supercomputing cluster that is a centerpiece of Research Advanced Computing Services (https://hpcf.uoregon.edu). The Data Science Initiative will also have synergies with the Knight Campus for Accelerating Impact (https://accelerate.uoregon.edu), itself recently launched by a $500 million dollar lead gift from Phil and Penny Knight.
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.
Department or Program Summary 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.
Minimum Requirements Ph.D. in Computer Science or related field by time of appointment Strong research record in the application of machine learning to computer vision
Preferred Qualifications Demonstrated commitment and contribution to institutional diversity, equity, and inclusion
About the University 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.
The University of Oregon is proud to offer a robust benefits package to eligible employees, including health insurance, retirement plans and paid time off. For more information about benefits, visit http://hr.uoregon.edu/careers/about-benefits.
The University of Oregon is an equal opportunity, affirmative action institution committed to cultural diversity and compliance with the ADA. The University encourages all qualified individuals to apply, and does not discriminate on the basis of any protected status, including veteran and disability status. The University is committed to providing reasonable accommodations to applicants and employees with disabilities. To request an accommodation in connection with the application process, please contact us at email@example.com or 541-346-5112.
UO prohibits discrimination on the basis of race, color, sex, national or ethnic origin, age, religion, marital status, disability, veteran status, sexual orientation, gender identity, and gender expression in all programs, activities and employment practices as required by Title IX, other applicable laws, and policies. Retaliation is prohibited by UO policy. Questions may be referred to the Title IX Coordinator, Office of Civil Rights Compliance, or to the Office for Civil Rights. Contact information, related policies, and complaint procedures are listed on the statement of non-discrimination.
In compliance with federal law, the University of Oregon prepares an annual report on campus security and fire safety programs and services. The Annual Campus Security and Fire Safety Report is available online at http://police.uoregon.edu/annual-report.
The University of Oregon, founded in 1876, is the stat'?s flagship institution. Located in Eugene, an energetic college town, the university offers academic excellence and hands-on learning opportunities in a welcoming atmosphere. Towering trees shade the 295-acre campus, where students, faculty members, and employees from a wide variety of backgrounds share a commitment to preserving the environment and pursuing innovation in more than 260 academic programs that range from Eugene to Portland and from the coast to the mountains. For more information visit http://www.uoregon.edu/about