Theory-Driven Big Data for Predicting Human Behavior

ORAU; Adelphi (MD); On-site; USD 70,000 - 90,000; Full time

Job summary

A research laboratory in Maryland is seeking a Research Associate to develop theory-driven Big Data approaches for predicting human behavior. The candidate will work on analyzing large datasets, implementing methodologies, and preparing research proposals. A Master's or Doctoral degree in relevant fields and experience in data analysis and statistical modeling are required. Excellent communication skills are essential. This position combines theoretical and data-driven insights to provide actionable outcomes.

Qualifications

• Master's or Doctoral degree in a relevant field.
• Experience in large-scale data analysis and statistical modeling.
• Strong ability to connect human-behavior theory with computational methods.
• Excellent communication skills.

Responsibilities

• Develop and advance a framework for Big Data approaches.
• Collect and analyze large datasets for new methodologies.
• Implement proof-of-concept methods and evaluate them.
• Prepare and submit research proposals to ARL-RAP.
• Collaborate with multidisciplinary teams for integration.

Skills

Large-scale data analysis

Statistical modeling

Machine learning

Communication skills

Excellent communication

Education

Master's or Doctoral degree in Applied Mathematics, Computer Science, Data Science, Cognitive Sciences, or related fields

Job description

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 [e-mail].

Program Advisor: Kelvin Oie – [e-mail], [phone].