The Statistics Department at Stanford University invites applications for a full-time lecturer position. There is the possibility of initial appointment at the Senior Lecturer level, depending on exceptional candidate qualifications.
The position entails teaching undergraduate/early graduate courses in statistics, and program administration for the Mathematical and Computational Science (MCS) undergraduate major as well as the Minor in Data Science. The candidate will collaborate with colleagues to both develop and revise original course material. The candidate will serve as the Associate Director of the MCS interdisciplinary undergraduate major, working closely with the MCS Director, Brad Efron. Additionally, the candidate will facilitate the summer research program for undergraduates, and will coordinate the statistics lab where students develop the practical skills of data science by working on real-world problems.
Candidates should be strongly committed to excellence in teaching, with demonstrated strong teaching abilities. A Ph.D. in Statistics or a related area is required. Applicants should submit a cover letter outlining teaching experience, curriculum vita, sample of recent teaching evaluations, and arrange for three letters of reference to https://academicjobsonline.org/ajo/jobs/10153. Application reviews will begin immediately and continue until the position is filled. Questions may be submitted to email@example.com.
The Stanford Statistics Department is world renowned for research and student training in statistical methodology and in probability. More information on the department can be found on its website: https://statistics.stanford.edu.
The Statistics Department administers the interdisciplinary undergraduate major Mathematical and Computational Science, Stanford’s data science major. More information on the MCS program can be found at https://mcs.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 also welcomes applications from others who would bring additional dimensions to the University’s research, teaching and clinical missions.