Theory-Driven Big Data for Predicting Human Behavior

Theory-Driven Big Data for Predicting Human Behavior

Organization: DEVCOM Army Research Laboratory (ARL)

Role: Research Associate – ARL-RAP (Army Research Laboratory Research Associateship Program)

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

Program Advisor: Kelvin Oie – , .