Connectionists: Postdoctoral Position in Data Mining of Human Activity at Stanford University

[Jennifer Hicks]

The Mobilize Center at Stanford University
(http://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. 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
mobilize-center at stanford.edu.
(2) Complete the short online form:
https://docs.google.com/forms/d/1Rrc7JurC4HfA-AiD7iJqXwdmWHvm3jzKHrVeO9BjLcU/viewform
(3) Arrange for two letters of reference to be sent to
mobilize-center at stanford.edu 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.

-- 
Jennifer Hicks, Ph.D.
Director of Data Science | Mobilize Center
Associate Director | NCSRR
R&D Manager | OpenSim
Stanford University