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Opportunity at Davies Teaching Fellowships (ARL/USMA)

Characterization of Human Variability through Multifaceted Assessment


MD and FL-Human Research & Engineering Dir-FFP, Human Research and Engineering Directorate - FFP

RO# Location
AA.27.01.B8215 Aberdeen Proving Ground, MD 210055425


Name E-mail Phone
Marathe, Amar Ravindra 410.278.3638


Human behavior has been studied for centuries and still remains poorly understood by the scientific community. Data collection and analytic tool development efforts to date overtly fail to capture the variability that is needed to characterize the dynamics of human behavior. Researchers have made trade-offs between experimental time periods and participant populations studied, resolution of data acquired, and the number of different facets of human assessment integrated (e.g., intended behaviors, unintended behaviors, physiology, subjective experiences, social interactions, environmental factors, and tasking). These trade-offs have limited the interpretability of human data and arguably, advancements in theory, modeling, as well as their applications to predicting behavior. Our goal is to extend theories regarding human behavior, incorporating multiple factors and their interactions, spanning multiple time scales across a large group of individuals, and to use these theories to develop novel methods to predict an individual’s future performance. In contrast to previous efforts that made tradeoffs between resolution and time, we aim to leverage the recent explosion in wearable technologies, physiological monitoring, environmental sensing, communications, computing technology, network technologies, and analytic tools to validate and refine theories regarding the factors influencing human performance over time. The Associate will work to characterize human variability and to develop novel methods to predict an individual’s future performance. The Associate should have extensive experience in one or more of the following (or related) fields: Applied Mathematics, Behavioral Science, Big Data Analysis, Bioengineering, Computer Science, Electrical Engineering, Machine Learning, Mechanical Engineering, Neuroscience, Physiology, Probability and Statistics. The Associate must have an interest in applying these skills to characterize human behavior in real-world environments.


Human variability; Human behavior; Human monitoring systems; Physiological monitoring; Wearable systems; Task performance; Dynamic task environments; Operational environments;


Citizenship:  Open to U.S. citizens
Level:  Open to Postdoctoral applicants
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