University of Oregon
The Department of Computer Science (CS) at the University of Oregon is accepting applications for four tenure-track Assistant Professor positions to start in the Fall of 2024. We are looking for candidates specializing in Systems, Theory, and Artificial Intelligence/Machine Learning, with each area having a broad scope. The successful candidates will be responsible for establishing a top-tier research program, delivering graduate and undergraduate courses with excellence, and contributing to university service and public outreach.
To apply, candidates should submit their materials online at https://academicjobsonline.org/ajo/jobs/26081. These materials should include a cover letter, curriculum vitae, research statement, teaching statement, DEI statement, and names and contact information for at least three references (the letters from these references are not required unless requested, at a later stage in the process).
We will begin reviewing applications starting November 30, 2023 and continue throughout the academic year until positions are filled. If you encounter difficulties using the online application system, please contact firstname.lastname@example.org to make alternative arrangements for submitting your application materials.
We are dedicated to building a culturally diverse and pluralistic faculty committed to teaching and working in a multicultural environment. In your DEI statement, please include information about how you plan to contribute to this goal. Feel free to describe past experiences mentoring minorities, women, or members of other underrepresented groups. We strongly encourage applications from scholars from historically excluded or targeted groups, including historically excluded racial or ethnic groups; women, transgender, and non-binary scholars; scholars with disabilities; and LGBTQIA+ scholars.
Ph.D. in Computer Science or a closely related field by the time of appointment. A strong research track record with top-tier publications in the research field of interest.
Promise of developing a strong research program in their area; demonstrated success in collaboratively building organized spaces of inclusive excellence; exemplary evidence of a commitment to advancing diversity, equity, and inclusion through research, teaching, and service.