The Stanford University Graduate School of Education seeks an open-rank, tenure-track faculty member who will contribute to a new program in education data science. We are interested in candidates from a variety of academic disciplines whose research exemplifies this emerging field. We invite applications from candidates who specialize in learning analytics, educational data mining, and/or education big data, and who make effective use of new computational methods, such as machine learning, artificial intelligence, network analysis and/or natural language processing techniques. A strong preference will be given to applicants who use state of the art computational methodologies to drive discovery and address problems in education.
The successful candidate will contribute to teaching and advising doctoral and masters students in the Graduate School of Education.
Applicants are required to provide:
a cover letter (short)
research statement (~3 pages)
teaching statement (~1 page)
three scholarly publications and/or well-developed papers
Applicants for Assistant rank positions should submit three letters of reference.
Applicants for Associate and Full Professor ranks should submit a list of three names of references (complete with addresses and phone numbers). We will request letters of recommendation for a short list of finalists only.
The Graduate School of Education and Stanford University value faculty who are committed to advancing diversity, equity, and inclusion. Candidates may optionally include as part of their research or teaching statement a brief discussion of how their work will further these ideals.
Application materials must be submitted on PageUp: https://facultypositions.stanford.edu/en-us/job/493372/faculty-position-...
The deadline for submitting applications is November 1st, 2021.
Questions may be directed to Tamara Danoyan, Faculty Affairs Officer, firstname.lastname@example.org.
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. Stanford welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.