The Mobilize Center at Stanford University (mobilize.stanford.edu), 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. Mobility data is also being collected daily by hundreds of clinical centers and research laboratories around the world. 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 data science 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. Current driving biomedical problems include weight management through the promotion of physical activity, running injuries, osteoarthritis, and cerebral palsy.
We are searching for outstanding creative individuals to develop and apply novel data science tools to study human mobility and health. The ideal candidate will have strong research skills in data science and 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 firstname.lastname@example.org.
(2) Complete the short online form.
(3) Arrange for two letters of reference to be sent to email@example.com within two weeks of submitting (1) and (2).
We encourage applicants to also send links to software or simulations 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.