Assistant Professor or untenured Associate Professor, Stanford Data Science and The School of Engineering
Posted: October 6, 2022
Application Deadline: December 5, 2022
The 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 or require assistance with the online application system, please contact the Faculty Search Administrator at [email protected]