Sign In - Applicant Portal Associate or Full Professor of Data Science Job no: 535565 Work type: Faculty - Tenure Track Location: Eugene, OR Categories: Research/Scientific/Grants, Instruction, Math, Computer and Information Science, Data Science Department:Arts & Sciences, College of Department: Data ScienceRank: Associate ProfessorAnnual Basis: 9 Month Application Deadline October 31, 2025 Required Application
Materials Candidates are asked to apply online at https://academicjobsonline.org/ajo/jobs/30328 by submitting the following required application materials:• Cover letter* • Curriculum Vitae*A cover letter (3 page max) summarizing your interest in and suitability for the position, including an overview and/or highlights of your a) research program, b) teaching experiences and interests, c) service contributions to
science, academia, and the broader public, and d) professional contributions to creating welcoming and supportive scientific and learning spaces for individuals from a wide range of backgrounds and perspectives, with the goal of fostering a strong sense of belonging and mutual respect.Applicants advancing to a later stage will be asked to submit:• Research statement • Teaching statement • Service statement• Three
references (no actual letters, just names and email addresses)Applications will be accepted until October 31st or until the post has been filled. If you are unable to use this online resource, please contact datascience@uoregon.edu to arrange alternate means of submitting application materials. Applicants who advance to subsequent rounds will be asked to provide a research statement, teaching statement, service
statement, and references. Position Announcement We enthusiastically invite established interdisciplinary scholars to apply to join and collaboratively develop our Department of Data Science. We invite applications from researchers working in Data Science, broadly defined, including those who contribute to data analysis methodology for applied domain(s), as well as those whose research focuses directly on the
methodology itself (e.g., computer science, statistics, or applied math). We are building a Data Science department that promotes social good and enhances belonging in the field. Strong faculty candidates will therefore have demonstrated impactful contributions to both inclusive education and broader societal impact. We encourage applications from candidates with a history of collaboration with domain experts.The
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