Oberlin College, Computer Science Department

1402 22822
Position ID:Oberlin College-CSCI-TT2OPEN [#22822, https://jobs.oberlin.edu/postings/12946]
Position Title: Tenure Track Assistant Professor of Computer Science
Position Type:Tenured/Tenure-track faculty
Position Location:Oberlin, Ohio 44074, United States [map] sort by distance
Subject Areas: Computer Science / Data Science, Information adn Coding Theory, Machine Learning, Machine Learning and Artificial Intelligence, Machine learning methodology and applications, Machine Learning Theory, Operating Systems, Programming Languages, Programming languages and compilers, Systems, Theory, Theory of Computing
Appl Deadline:2022/10/15 11:59PMhelp popup finished (2022/09/16, finished 2023/04/22)
Position Description:    

*** this position has been closed. ***

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The Computer Science Department at Oberlin College invites applications for two full-time tenure track faculty positions in the College of Arts and Sciences. We seek candidates with teaching and research interests in any area of Computer Science, and especially encourage candidates with interest in theory, systems and machine learning/data science to apply. Initial appointment to this position will be for a term of four years, beginning fall semester of year 2023, and will carry the rank of Assistant Professor.

Founded in 1833, Oberlin is a private four-year, highly selective national liberal arts college near Cleveland, Ohio and is also home to an outstanding Conservatory of Music. Together, the two divisions enroll approximately 2900 students. Oberlin College was the first college in the US to make interracial education and co-education central to its mission. The College continues to view a diverse, equitable and inclusive educational environment as essential to the excellence of its academic program. Among liberal arts colleges, Oberlin is a national leader in successfully placing graduates into PhD programs.

The Computer Science Department is growing to 9 faculty positions with research interests spanning the areas of machine learning, privacy, security, human-computer interaction, theory, and computer science education. Faculty members teach at all levels of the curriculum, and are active in original research that provides opportunities for undergraduate participation. Many of our majors go on to earn advanced degrees from leading CS graduate programs. Our majors are enthusiastic and actively engaged in their education. The Oberlin Computer Science department is dedicated to making CS accessible to all students, and uses active learning and other evidence-based pedagogies throughout our curriculum.

Responsibilities: The incumbent will teach the standard teaching load (4.5 courses per year, with labs counting towards this total) at all levels of undergraduate Computer Science.

The incumbent will also be expected to engage in sustained scholarly, peer-reviewed research, including with undergraduate students, and participate in the full range of faculty responsibilities, including academic advising and service on committees.

Qualifications: Among the qualifications required for appointment is the PhD degree (in hand or expected by first semester of academic year 2023-24). Candidates must demonstrate interest and potential excellence in undergraduate teaching. Successful teaching experience at the college level is desirable. Oberlin College is committed to diversity, equity and inclusion. The incumbent will bring understanding of or experience working with underrepresented and diverse academic populations. Oberlin is especially interested in candidates who can contribute to the excellence and diversity of the academic community through their research, teaching, and service. Oberlin recruits, employs, trains, compensates, and promotes regardless of race, religion, color, national origin, gender, gender identity, sexual orientation, disability, age, veteran’s status, and/or other protected status as required by applicable law.

Compensation: Within the range established for this position, salary will be commensurate with qualifications and experience and includes a competitive benefits package.

Special Instructions: To apply, candidates should visit the online application site found at https://jobs.oberlin.edu. You will be instructed to setup an account. A complete application will be comprised of: 1) a Cover Letter describing your teaching, scholarship, mentorship, and service, detailing any connections to supporting an inclusive learning environment; 2) a Curriculum Vitae; 3) an unofficial graduate transcript; 4) a statement (or statements) on your teaching philosophy and expertise in diversity, equity, and inclusion; 5) a research statement that includes how you will support undergraduate research and, if applicable, how you might incorporate undergraduate students into your research program; and 6) Letters of Reference from three recommenders.* All application materials must be submitted electronically through Oberlin College and Conservatory's online application process at: https://jobs.oberlin.edu/

*By providing three letters of reference, you agree that we may contact your letter writers.

We especially encourage applicants with research interests in Theory, Systems, or Machine Learning/Data Science to apply. To be assured of consideration, submit required application materials for this position found at https://jobs.oberlin.edu/ by October 15, 2022. Questions about the position can be addressed to Cynthia Taylor, Chair of Computer Science, at ctaylor@oberlin.edu.


We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://jobs.oberlin.edu/postings/12946 external link.
Contact: Cynthia Taylor, Department Chair, 440 775-8372, 440 775-6272 (fax)
Email: email address
Postal Mail:
Oberlin College & Conservatory
Computer Science Department
10 N. Professor St. King 139
Oberlin, OH 44074
Web Page: https://www.oberlin.edu/arts-and-sciences/departments/computer-science