Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
The Social and Decision Analytics Laboratory (SDAL) is seeking applications for postdoctoral associates in statistics and social and behavioral sciences. SDAL is a leading laboratory in the Biocomplexity Institute (BI) of Virginia Tech. BI 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.
SDAL combines expertise in statistics and social sciences to develop evidence-based research and quantitative methods to inform policy decision-making and evaluation. The researchers at SDAL span many disciplines including statistics, economics, computational social science, psychology, political science, policy and program evaluation, and data governance and information architecture. SDAL methods integrate statistical learning, network science, cognitive science, behavioral economics, game theory, crowdsourcing, and machine learning.
SDAL 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 SDAL research and SDAL leverages all the research capability of BI, along with the High Performance Computing infrastructure.
This position(s) will be offered at the rank of postdoctoral associate and will be located in the Biocomplexity Institute's National Capital Region (NCR) location in Arlington, VA. Position reports to Sallie Keller, Professor and Director, Social and Decision Analytics Laboratory (SDAL), Biocomplexity Institute of Virginia Tech.
Ph.D. in statistics, social and behavioral sciences, or in a very closely related field
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 a strongly motivated, enthusiastic and self-driven individual who excels in a highly collaborative environment.
Experience using diverse sources of data, both traditional ones such as surveys, and non-traditional ones, such as administrative data and social media.
Employee Category: Research Faculty
Appointment Type: Restricted
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
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For inquiries regarding non-discrimination policies, contact the executive director for Equity and Accessibility at 540-231-2010 or Virginia Tech, North End Center, Suite 2300 (0318), 300 Turner St. NW, Blacksburg, VA 24061.
Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth's most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfil...ls its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).