The Humanities Computing Curriculum Committee (HC3), coordinated by Princeton’s Center for Digital Humanities (CDH), is a joint venture of technologists, humanists, administrators, and students. We believe that emerging methods in data science promise new insights into human history and culture, and that the humanities are vital to developing socially responsible technology in the world today. We see curricular reform as a vital means of putting the liberal arts into conversation with computer and data science to help foster a more just future.
HC3 seeks to hire a scholar and educator to grow this pathbreaking curriculum development initiative that will integrate humanistic methods with computer and data science in undergraduate courses. The Humanities Computing Curriculum Specialist will be embedded with the CDH. They will collaborate with campus partners including the Humanities Council, the Center for Statistics and Machine Learning, the Council on Science and Technology, the McGraw Center for Teaching and Learning, the Office of the Dean of the College, and the academic departments represented on HC3.
This is a two-year term position. The successful candidate will have research expertise that bridges humanistic and computational methods. Experience with the use of data in the humanities (e.g. textual, spatial, demographic, or numeric) is preferred. We especially welcome candidates who center issues of digital equity in their work, as well as candidates who are members of groups historically underrepresented in higher education.
Applications for the position should include a cover letter, CV, and the names and contact information for three references. Application review will begin on June 11.
Areas of responsibility and projects the HC3 Specialist may be responsible for include:
- Proposing interdisciplinary course-trees and pathways within established majors and through independent concentrations.
- Working to make humanities datasets more accessible across campus, especially for use in Computer Science and Statistics and Machine Learning courses.
- Researching the design and implementation of integrated humanities and data science programs at peer institutions.
- Coordinating Princeton’s new Humanities Data Teaching Fellowship program
- Advanced degree in the humanities, social science, information science, or a related discipline; PhD preferred.
- Experience teaching and/or developing curricula in a university setting.
- Experience with emerging research methods and understanding of best practices in the digital humanities or computational / data sciences.
- Excellent oral and written communication skills.
- Excellent organizational skills, interpersonal skills and ability to manage multiple priorities.
- Demonstrated leadership, problem-solving, and decision-making skills.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law. EEO IS THE LAW