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DEVCOM Army Research Laboratory

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Theory-Driven Big Data for Predicting Human Behavior DEVCOM Army Research Laboratory in United States

Degree Level

Master's

Field of study

Computer Science

Funding

Not specified in the advert.

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Data Science
Sociology
Psychology
Cognitive Science
Mathematics
Artificial Intelligence
Probability Theory
Human-computer Interaction
Social Science
Human Behavior
Big Data
Computational Modelling
Statistics

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About this position

Theory-Driven Big Data for Predicting Human Behavior is a research opportunity at the DEVCOM Army Research Laboratory in Adelphi, Maryland, within the Humans in Complex Systems (HCxS) area.

The project addresses a major challenge in the human sciences: traditional theory-driven approaches can explain behavior in controlled laboratory settings, while data-driven methods can achieve strong predictive performance on large datasets but may struggle to generalize or support theory building. This opportunity seeks to combine the strengths of both approaches to develop models that can assess the critical factors driving highly multidimensional, real-time human behavior in real-world conditions.

The associate will work on one or more overlapping thrusts, including developing a general framework for theory-driven big data approaches to human behavior, collecting and analyzing large datasets to adapt and test new methodologies, and creating proof-of-concept demonstrations that show the value and limitations of the approach. The research sits at the intersection of human and computational sciences and is framed as an applied, multi-disciplinary effort within ARL’s broader research mission.

The position is associated with ARL’s Army Research Directorate and the Army Research Laboratory Research Associateship Program (ARL-RAP), which connects highly trained researchers with scientific and technical areas of relevance to the Army. The HCxS topic emphasizes non-medical approaches to understanding humans in complex social, technological, and socio-technical systems.

Funding details

Not specified in the advert.

What's required

Applicants should have a Master's Degree or Doctoral Degree. The advert states that candidates with academic level categories of Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), Doctoral Degree 5+ years (Senior Fellow), or Faculty are eligible. Experience or interests in one or more of the following are expected or preferred: Applied Mathematics, Artificial Intelligence, Cognitive and Behavioral Sciences, Cognitive Neuroscience, Complexity Science, Computer Science, Data Science, Network Science, Probability and Statistics, or Social Science, with particular interest in expertise that bridges human and computational sciences.

How to apply

Apply through the Zintellect application link. Submit a CV or resume, three reference forms, and transcripts with your application. If selected by an advisor, prepare and upload a research proposal through the provided ARL-RAP process.

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