Assistant Professor or untenured Associate Professor, Stanford Data Science and the School of Engineering
Work type: University Tenure Line
Location: Stanford University
Categories: School of Engineering
Stanford Data Science (https://datascience.stanford.edu/) and the School of Engineering
(https://engineering.stanford.edu/) at Stanford University invite applications for a tenure-track
appointment at the assistant professor or untenured associate professor level in the School of
Engineering. The primary departmental home of the appointee will be in one of the departments in
the School of Engineering (https://engineering.stanford.edu/faculty-research/departments).
Applicants should have an earned Ph.D., evidence of the ability to pursue an independent program of research, a strong commitment to both graduate and undergraduate teaching, and the ability to initiate and conduct research across disciplines. A successful candidate will be expected to contribute creatively and in depth to data science through research, teaching, and student mentorship. We welcome candidates engaged in all aspects of data science and its applications in one or more engineering disciplines. Ideal candidates will demonstrate strong communication and leadership skills, and will be able to actively contribute to Stanford Data Science and their home department(s).
Stanford Data Science, the School of Engineering and Stanford University value faculty who are
committed to advancing diversity, equity, and inclusion. Candidates may optionally include a
diversity statement including a brief discussion of how their research, teaching and mentorship will
further these ideals.
The Stanford community also values transparency and openness in science and encourages candidates
to provide in their research statement a description of how these values are reflected in their work to
date and their future research plans.
Applicants should submit a cover letter, CV, 3-page statement of research and teaching, including
accomplishments and plans, 1 page diversity statement (recommended), 2 representative
publications, and names of 5 references.
Candidates should apply online at https://facultypositions.stanford.edu/en-us/listing/ Applications will be accepted through December 5, 2022.
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 all who would bring additional dimensions to the
University’s research, teaching and clinical missions.
If you have questions regarding this opening, please contact the Faculty Search Administrator at firstname.lastname@example.org
Advertised: Pacific Daylight Time
Applications close: Pacific Standard Time
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