DEVCOM Army Research Laboratory
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Using Virtual Environments to Understand Cognitive Processes in More Mission-Relevant Scenarios DEVCOM Army Research Laboratory in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Available
Country
United States
University
DEVCOM Army Research Laboratory
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About this position
This research opportunity at the DEVCOM Army Research Laboratory focuses on understanding how visual information is processed in more immersive, mission-relevant settings. The project moves beyond tightly controlled lab experiments and uses desktop paradigms alongside immersive virtual environments to study visual search and related cognitive mechanisms under more realistic conditions.
The successful participant will apply neural computational models to test predictions about how the visual system operates in the natural environment. By combining computational theory with experimentation using cutting-edge technology, the work aims to build foundational theories of visual attention and perception in settings that better reflect operational demands.
The project sits within HRED, ARL’s Human Research and Engineering Directorate, which centers on optimizing Soldier performance and improving human-autonomy teaming. The broader research environment emphasizes human-robot interaction, human-informed machine learning, human cognition, and adaptive teaming, with the goal of understanding how people and teams perform in dynamic environments and how autonomous systems can transition from tools to teammates.
An ARL Advisor is listed for the opportunity, and the research is framed as part of the ARL Research Associateship Program, which connects highly trained researchers with Army-relevant scientific and technical challenges.
Funding details
Available
What's required
Applicants must be currently pursuing a Master's degree or Doctoral degree. A complete application requires a CV or resume, three references, and transcripts verifying receipt of degree; a student or unofficial copy is acceptable. If selected by an advisor, the participant must also prepare a research proposal related to a specific ARL opportunity with a clear objective, defined outcome, planned direction, expected study duration, brief background and motivation, and references to published efforts where helpful.
How to apply
Apply through the Zintellect application link and submit the required CV/resume, three references, and transcripts. After completion of the online application, send the reference-form link to your referees. If selected by an advisor, upload the required research proposal when the link is provided.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.
ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.