As part of a major new initiative in interdisciplinary data science, Princeton University is searching for tenured and tenure-track faculty members across all science, engineering, social science, and humanities areas. This initiative will involve multiple faculty hires over the next several years. We are particularly interested in applicants who advance discovery in their fields of scholarship using techniques from machine learning and statistics.
Applicants may also make research advances in machine learning and statistical methods as necessary for their application domains. These faculty hires will contribute to the momentum building across Princeton University in interdisciplinary data science. For associate and full professor candidates, we seek research leaders who cross boundaries in applying data science methods. For assistant professor candidates, we are looking for rising stars conducting exciting research that applies data science methods in their chosen field(s). Applicants must demonstrate the potential for superior research, scholarship, and teaching.
Faculty appointments resulting from this search may be made with various departments, centers, or institutes at Princeton University. A PhD is expected. In addition, applicants must have a strong record of research productivity, demonstrate the ability to develop a rigorous research program, and be dedicated to teaching at both the undergraduate and graduate levels. The university is committed to fostering a diverse and inclusive academic community. We welcome applications from members of groups historically underrepresented in their chosen fields.
Applications must be submitted online at "https://www.princeton.edu/acad-positions/position/32067">https://www.princeton.edu/acad-positions/position/32067 and should include a cover letter, curriculum vitae, a research statement, a teaching statement, and contact information for at least three, but no more than five references. Review of applications will begin by December 1, 2024, and applications will be considered throughout the academic year. Princeton University is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University's background check policy. recblid m0zl7ca04oxkbjw7crvzj6axxnem4m