Associate or Full Professor of Data Science

Department: Data Science
Rank: Associate Professor
Annual Basis: 9 Month

October 31, 2025

Candidates are asked to apply online at (Use the "Apply for this Job" box below). 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 data science 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.

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 colleague we hire will join an engaged and collaborative faculty to co-create a supportive department that makes positive and impactful contributions to the University, to the public of Oregon, and to the globe. To do so, the colleague will contribute to identification of strategic opportunities for our growing department that guide future faculty hiring, foster and support the department's faculty in research excellence, co-create a constructive department culture and continue to expand our educational mission at the undergraduate and graduate level.

Some current efforts of the department are to improve outreach to underserved student populations to bolster admissions, and to develop internship and other programs to aid graduates in career placement.

Strong candidates will have demonstrated their ability and vision for building positively engaged spaces, programs, or organizations. Strong candidates will also have a history of excellent research scholarship; as befits an interdisciplinary department, we are open to various metrics of research success beyond grants, citations, and publications (including policy impact, community engagement in research, collaborative projects, etc.). Strong candidates will also have demonstrated excellence in and commitment to teaching, translation of knowledge, or advising/mentoring of students (including out-of-classroom education).

We are excited to grow a mutually supportive culture of impactful teaching and research in our new department. We welcome candidates who understand the barriers facing members of groups who have been historically excluded from data science and higher education (as evidenced by life experiences and educational background), and who have experience in improving belonging with respect to teaching, mentoring, outreach, life experiences, or service.

We seek to hire an established scholar (appointable to associate or full professor), which includes faculty currently going…