June 6, 2020 at 6:23 pm #5701Richard SchugartMember
from: Forest, Greg <firstname.lastname@example.org>
The Statistical and Applied Mathematical Sciences Institute (SAMSI) is soliciting applications from statistical and mathematical scientists for up three postdoctoral positions for the SAMSI research programs in 2020-2021. The three programs are:
-Numerical Analysis in Data Science, anchored at North Carolina State University
-Data Science in the Social and Behavioral Sciences, anchored at the University of North Carolina at Chapel Hill
-Combinatorial Probability, anchored at Duke University
Appointments will be one year in length, tentatively from August 1, 2020 to July 31, 2021. Appointments are made jointly between SAMSI and one of its partner universities (Duke University, North Carolina State University, and the University of North Carolina at Chapel Hill). The positions offer extremely competitive salaries, a travel stipend, and health insurance benefits. PhD must be conferred by position start date.
In particular, the major themes of the SAMSI Data Science in the Social and Behavioral Sciences program will include:
1. Social network analysis and network neuroscience, including challenges around network sampling, temporal and multilayer networks, and network modeling of disease and behavior.
2. Comparisons and synthesis in causal inference and statistical modeling across structural equation models, directed acyclic graphs, and counterfactual approaches.
3. Consideration of new forms of digital data and the methods to analyze such data. Possible examples include wearables, GPS tracking, web scraping, sensor data, computer-aided text analysis, sentiment analysis, intensive time-series, etc.
For more information and to apply, go to https://academicjobsonline.org/ajo/jobs/16355 .
To see more about these programs, visit: http://www.samsi.info
SAMSI and the partner universities are all Equal Opportunity employers. We encourage all qualified applicants to apply, including individuals of all gender identities, under-represented minorities, individuals with disabilities, and veterans.
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