|Position ID:||Stanford-Department of Statistics-ASSTPROF [#7948]|
|Position Title:||Assistant Professor (tenure track)|
|Position Type:||Tenured/Tenure-track faculty|
|Position Location:||Stanford, California 94305, United States [map]|
|Appl Deadline:||2016/12/11 finished (posted 2016/09/14, finished 2017/03/13, listed until 2017/03/14)|
|The Statistics Department seeks applicants for two tenure track Assistant Professor positions in Probability, Applied or Theoretical Statistics. These are research and teaching positions with student advising and department committee responsibilities.
Applicants should have demonstrated strong research abilities. A PhD in Statistics or a related area is required. Applicants should submit a letter of application, curriculum vita, a statement of research and teaching interests (no more than 3 pages, combined), graduate transcripts, not more than one preprint/reprint, and arrange for three letters of recommendation to be submitted. Applications and letters should be submitted online at https://academicjobsonline.org/ajo/jobs/7948. Questions may be submitted to firstname.lastname@example.org.
Evaluation of applicants will begin November 16, 2016. Applications must be received by December 11, 2016 to be guaranteed consideration.
The Stanford Statistics department currently has 22 regular faculty members, as well as a distinguished group of emeriti. Many professors have joint appointments in other departments, including positions in mathematics, economics, the School of Medicine, the School of Engineering, the School of Earth, Energy & Environmental Sciences, and the Graduate School of Education. The varied research in the department integrates core statistical theory, mathematics, computing, algorithms, and applications to many scientific disciplines. More information on the department can be found on its website: https://statistics.stanford.edu.
Stanford University is an equal opportunity employer and is committed to increasing the diversity of its faculty. It welcomes nominations of, and applications from, women, members of minority groups, protected veterans and individuals with disabilities, as well as others who would bring additional dimensions to the university’s research, teaching and clinical missions.