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DEVCOM Army Research Laboratory

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Cross Reality (XR) Localization and Interaction DEVCOM Army Research Laboratory in United States

Degree Level

Master's, Postdoc

Field of study

Computer Science

Funding

Available

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Country

United States

University

DEVCOM Army Research Laboratory

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Keywords

Computer Science
Psychology
Cognitive Science
Electrical Engineering
Information Technology
Geography
Human-computer Interaction
User Experience Design
Edge Computing
Autonomy
Extended Reality
Robotics
Geospatial Information

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About this position

This opportunity sits within the Battlefield Information Systems Branch and the Tactical Spatial Computing Team at DEVCOM Army Research Laboratory. The project focuses on cross reality (XR) localization and interaction for ground maneuver operations, bringing together head-mounted displays, sensor systems, air/ground autonomy, and geospatial data.

The research environment is centered on shared spatial localization and mapping, extended reality user experience design and assessment, human-machine interaction, and 3D geospatial processing and integration. The work is framed by the Army Research Laboratory’s broader mission in military information sciences, where timely, mission-aware information is developed for humans and systems at speed and scale.

The posting identifies Nathan Hahn and Mark Dennison as ARL advisors for this opportunity.

Funding details

Available

What's required

Applicants must be U.S. citizens only. Eligible degree levels include a bachelor's degree, master's degree, doctoral degree, or faculty status, depending on the fellowship track. Candidates should submit a research proposal related to a specific ARL opportunity with a clear objective, defined outcome, intended research direction, expected completion period, and brief background on preparation and motivation. The application also requires a CV or resume, a list of relevant coursework and lab experience, any papers/presentations/publications with reprints or abstracts if available, three reference forms, and transcripts showing degree receipt or current enrollment in an accredited undergraduate or graduate program.

How to apply

Submit the application in Zintellect. Upload a CV or resume, relevant coursework and lab experience, publications if any, three references, transcripts, and a research proposal tied to the ARL opportunity. Send the generated reference-form email to your referees so they can complete the forms.

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