"Faculty Position in Education Data Science"

The Stanford University Graduate School of Education seeks an early career (assistant or associate), tenure-track faculty member who will teach courses in education data science and statistics, and whose research develops and/or applies cutting edge data science and statistical methods to the study of education. We invite applications from candidates in a variety of academic disciplines who make use of statistical and computational techniques for analysis of large volumes of data describing educational systems or processes. A strong preference will be given to applicants who are familiar with the full data science research pipeline and with multimodal data and who use state-of-the-art computational methodologies to drive discovery and address problems in education.

The successful candidate will show a generative line of research in education data science and contribute to teaching and advising doctoral and masters students in the Graduate School of Education. Ph.D./Ed.D., or enrollment in a Ph.D./Ed.D. program with anticipated degree conferral by the time of appointment is required.

Applicants are required to provide: a brief cover letter, a research and teaching statement (no more than 3 pages total), curriculum vitae, three scholarly publications and/or well-developed papers, and the names of three references.

Questions may be directed to Tanya Chamberlain, Faculty Affairs Director.

The expected base pay range for this position is: Assistant Prof.: $135k – $150k; Assoc. Prof: $160k – $180k.

Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.