Stanford: Postdoctoral Position in Data Mining of Human Activity

Stanford University's newly-established Mobility Center has several openings for postdoctoral candidates interested in researching the intersection of human health and machine learning.

Stanford At: Stanford
Location: Stanford, CA
Position: Postdoctoral Position in Data Mining of Human Activity

The Mobilize Center at Stanford University (, a newly established National Institutes of Health (NIH) Big Data to Knowledge (BD2K) Center for Excellence, has openings for several Distinguished Postdoctoral Fellows.

The proliferation of devices monitoring human activity, including mobile phones and an ever-growing array of wearable sensors, is generating unprecedented quantities of data describing human movement, behaviors, and health. Modeling and gaining insight from these massive and complex datasets will require novel algorithms for large-scale data processing and machine learning.

The Mobilize Center is bringing together leading data science and biomedical researchers to integrate and understand these data using innovative machine learning and data mining techniques, combined with state-of-the-art biomechanical modeling. The Center is led by Scott Delp, along with co-investigators Trevor Hastie, Jure Leskovec, Christopher Re, Stephen Boyd, Jennifer Widom, Abby King, Russ Altman, and Margot Gerritsen.

We are searching for outstanding creative individuals to develop novel data mining and machine learning tools to study human mobility and health. The ideal candidate will have strong research skills in data mining and machine learning, biomechanics, and experience developing computational methods. Prior experience with wearable sensors, statistical learning, optimization, game theory, software development, medical informatics, and other data science methods is desirable.

Interested applicants should:

(1) Send a letter indicating their interest and experience, a CV, and copies of two representative publications via e-mail to
(2) Complete the short online form:
(3) Arrange for two letters of reference to be sent to within two weeks of submitting (1) and (2).

We encourage applicants to also send links to software that they have developed. The review of applications will begin immediately and continue until the positions are filled.

Stanford University is an affirmative action and equal opportunity employer, committed to increasing the diversity of its workforce. It welcomes applications from women, members of minority groups, veterans, persons with disabilities, and others who would bring additional dimensions to the university's research and teaching mission.