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*The Social & Decision Analytics Division (SDAD) is seeking applications
for multiple postdoctoral associates in statistics and social and
behavioral sciences*. *SDAD is a leading laboratory in the Biocomplexity
Institute & Initiative (BII) at the University of Virginia. *BII performs
world-class informatics research in life sciences, social sciences, and
human health by integrating theory, modeling and simulation with
computational and experimental science in a transdisciplinary, team science
research environment.


SDAD combines expertise in statistics and social and behavioral sciences to
develop evidence-based research and quantitative methods to inform policy
decision-making and evaluation. The researchers at SDAD span many
disciplines including statistics, economics, computational social science,
psychology, political science, policy, and program evaluation, and data
science. SDAD methods integrate statistical learning, network science,
cognitive science, behavioral economics, game theory, crowdsourcing, and
machine learning.


SDAD researchers address complex social problems by leveraging the
diversity of data flows available today including administrative and
government records, surveys, social media, and sensors. Through team
collaboration, the postdoctoral candidate is expected to develop the
capacity to discover, repurpose and redirect these data flows to solve
critical social problems. Computational complexity is at the heart of SDAD
research and SDAD leverages all the research capability of BII, along with
the High Performance Computing infrastructure.


The position will be offered at the rank of postdoctoral associate and will
be located in BII's location in Arlington, VA. Position reports to Sallie
Keller, Director of SDAD and Professor of Public Health Sciences. The
anticipated start date for the position is May of 2019.


Required Qualifications:

   - Applicants must be on track to receive a PhD in statistics, social and
   behavioral sciences, digital humanities or in a very closely related field
   by May of 2019 and must hold a PhD at the time of appointment.
   - Willingness to work in a team science environment.
   - Experience with advanced approaches to statistics and data-driven
   model development.
   - Experience with statistical software systems such as R, programming,
   and databases.
   - Excellent communication skills, both oral and written, demonstrated
   through the development of publications and delivery of presentations.
   - Be motivated, enthusiastic and self-driven.
   - Ability to excel in a highly collaborative team science environment.

Preference will be given to those applicants with:

   - Experience using diverse sources of data, both traditional ones such
   as surveys, and non-traditional ones, such as administrative data and
   social media.

To apply for this position, please go to
jobs.virginia.edu/applicants/Central?quickFind=86114. Please attach a CV,
Cover Letter detailing your relevant experience and interest in the
position and summary of your coursework. Please have three confidential
letters of reference sent to this email address: [log in to unmask]
Review of applications will begin on January 10, 2019 and will continue
until the position is filled.


To learn more about SDAD and BII, please visit us at
biocomplexity.virginia.edu


For questions about the application process, please contact Savanna
Galambos, Faculty Search Advisor, at [log in to unmask]


The flier is attached.


Best,


Gizem Korkmaz
Research Associate Professor
Social & Decision Analytics Division
Biocomplexity Institute & Initiative
University of Virginia

1100 Wilson Blvd Suite #2910
Arlington VA 22209
Email: [log in to unmask]
https://urldefense.proofpoint.com/v2/url?u=https-3A__biocomplexity.virginia.edu_&d=DwIBaQ&c=pZJPUDQ3SB9JplYbifm4nt2lEVG5pWx2KikqINpWlZM&r=uXI5O6HThk1ULkPyaT6h2Ws3RKNKSY__GQ4DuS9UHhs&m=wMytuHtolhgHKr04Bjn1yq9IGHCjOr6-AvhhUiekA8Q&s=9cQHffahhD-C3cfflU67ye8YE08YrNPB3y8X34qrnAA&e=

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