The John G. Kemeny Professorship of the Study of Computation and Just Communities

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 tenure-track faculty members and is committed to growing that number by 25-33% over the next decade, in a new dedicated Engineering and Computer Science Center. 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.

Application Instructions:

Please submit all materials electronically via Interfolio:

1)      Cover letter

2)      Curriculum vitae

Application review will begin Dec 15, 2022 and continue until the position is filled. Inquiries can be addressed to Andrew Campbell, chair of the search committee:

Equal Employment Opportunity Statement

For additional job openings at Dartmouth College, please visit the Office of the Provost and Human Resources.

Dartmouth College is an equal opportunity/affirmative action employer with a strong commitment to diversity and inclusion. We prohibit discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, veteran status, marital status, or any other legally protected status. Applications by members of all underrepresented groups are encouraged.

Your offer is contingent upon your consent to a pre-employment background check with results acceptable under Dartmouth policy.

All Dartmouth College employees, whether working on-site or remotely, must be fully vaccinated against COVID-19 or receive an approved medical or religious exemption from vaccination through Dartmouth's Office of Institutional Diversity and Equity (IDE). Compliance with the Dartmouth COVID-19 Employee and Appointee Vaccination Policy is a condition of employment and every offer of employment is contingent upon submission of appropriate documentation evidencing either vaccination against COVID-19, or the receipt of an approved exemption. Failure to meet this condition of employment may result in Dartmouth, in its sole discretion, delaying your start date or rescinding its offer of employment. Visit to review the Policy and for details and information on requesting an exemption and/or reasonable accommodation.