Stein Fellow in Statistics or Probability

Job description


Stein Fellow in Statistics or Probability
Stanford University, Stanford, California


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 & 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 and teaching abilities. A Ph.D. in Statistics or a related area is required. Applicants should submit a letter of application, curriculum vitae, 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/14917. Questions may be submitted to [email protected].

Evaluation of applicants will begin November 16, 2019. Applications must be received by December 11, 2019 to be guaranteed consideration.

The Stanford Statistics Department currently has 25 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, and the School of Engineering. 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 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.





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Job No:
Posted: 10/3/2019
Application Due: 10/3/2031
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