The Computer Science Department at Dartmouth College invites applications for The John G. Kemeny Professorship of the Study of Computation and Just Communities. Qualified candidates should have a record of scholarly activity commensurate with an appointment at the rank of Associate Professor or Full Professor with tenure at an R1 institution. Applicants should have a record of research in machine learning with a demonstrated interest in investigating the connections of machine learning to its effects on society and equity. Examples of such work include but not limited to: the intersection of machine learning with privacy, economic opportunity, algorithmic bias, remote sensing, and text, speech, and image processing/misinformation. Applicants should also have an interest in working closely with Dartmouth College's newly created Wright Center for the Study of Computation and Just Communities.

The Computer Science Department is home to 24 tenured and tenure-track faculty members and three research faculty members, and is working towards a significant expansion in those numbers over the next decade, in a new dedicated Computer Science and Engineering Center.  Research areas of the department encompass the areas of security, computational biology, machine learning, robotics, systems, algorithms, theory, digital arts, vision, and graphics.  The department has strong Ph.D. and M.S. programs and outstanding undergraduate majors.

Computer Science, and Dartmouth as a whole, are highly committed to fostering a diverse and inclusive population of students, faculty, and staff. We are especially interested in applicants who are able to work effectively with students, faculty, and staff from all backgrounds, including but not limited to racial and ethnic minorities, women, individuals who identify with LGBTQ+ communities, individuals with disabilities, individuals from lower-income backgrounds, and first-generation college graduates. We seek candidates who have a demonstrated ability to contribute to Dartmouth's diversity initiatives in STEM research, such as the Women in Science Program, E. E. Just STEM Scholars Program, and the Academic Summer Undergraduate Research Experience (ASURE). Applicants should state in their cover letter how their teaching, research, service, or experiences prepare them to advance Dartmouth's commitments to diversity, equity, and inclusion.

A Ph.D. in Computer Science or a closely related field is required.

Please submit all materials electronically via Interfolio:

1. Cover letter
2. Curriculum vitae

Review of applications will begin on December 15, 2022 and continue until the position is filled.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of sex, race, color, religion, age, disability, status as a veteran, national or ethnic origin, sexual orientation, gender identity, gender expression, or any other category protected by applicable law, in the administration of its educational policies, admission policies, scholarship and loan programs, employment, or other school administered programs. Applications by members of all underrepresented groups are encouraged. 

If you are an applicant with a disability and need accommodations to assist in the job application or interview process, please email ADA@dartmouth.edu. In the subject line, please state “Application Accommodations” and include the job number or title. Someone from the ADA Compliance Office will be in touch within 2 business days.   

For additional employment opportunities at Dartmouth College, please visit the Dartmouth Interfolio Job Board, the Office of the Provost, and the Office of Human Resources.

Offers of employment are contingent upon consent to a pre-employment background check with results acceptable under Dartmouth policy. Please visit the Office of Human Resources for details.

All Dartmouth College employees must comply with the College’s health and safety guidelines and protocols, including but not limited to those related to COVID-19, such as any testing, masking, or distancing requirements that may be in place at any given time or place.