Theory-Driven Big Data for Predicting Human Behavior

Overview: We seek a Research Associate to develop theory‑driven Big Data approaches for predicting human behavior in real‑world conditions. The work combines traditional theoretical models with data‑driven predictive modeling to deliver actionable insights.

Responsibilities: Develop and advance a general framework for theory‑driven Big Data approaches. Collect, preprocess, and analyze large datasets to create, adapt, and test new methodologies. Implement proof‑of‑concept methods, evaluate their advantages and limitations. Prepare research proposals and submit to the ARL‑RAP review panel. Collaborate with multidisciplinary teams to integrate insights from human and computational sciences. Qualifications & Eligibility Master's or Doctoral degree in Applied Mathematics, Computer Science, Data Science, Cognitive Sciences, or related fields. Experience in large‑scale data analysis, statistical modeling, and machine learning. Strong research background and ability to bridge human‑behavior theory with computational methods. Excellent written and verbal communication skills.

Application Requirements: Curriculum Vitae or Resume. Three reference forms. Official transcripts. Research proposal (if selected).Contact Questions? Email ARLFellowship@orau.org. Program Advisor: Kelvin Oie – kelvin.s.oie.civ@army.mil, (410)274-9923.