The Statistics Department seeks applicants for a non-tenure track Stein Fellow position, for two years with possible extension to three years.
The Stein Fellowship is designed to be a career building step for new scholars. Our intention is to develop the next generation of leaders in statistics and related disciplines by offering a unique opportunity for the best young scholars to develop their expertise in both teaching and research. Opportunities will be offered for the fellow to participate in some of the department's on-going research projects on statistical theory and methods as well as their applications to diverse subject areas. The Stein Fellow will have a light teaching load--two one-quarter courses will be taught each academic year.
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, 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/5967. Questions may be submitted to search@stat.stanford.edu.
Evaluation of applicants will begin November 16, 2015. Applications must be received by December 11, 2015, 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 Education, and the School of Earth, Energy & Environmental Sciences. The varied research in the department integrates core statistical theory, mathematics, computing, algorithms, and applications to many scientific disciplines. More information about 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.
