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DEVCOM Army Research Laboratory

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Game Theory and Machine Learning for Cyber Deception 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
Electrical Engineering
Information Technology
Mathematics
Artificial Intelligence
Cybersecurity
Network Security
Networking
Game Theory
Reinforcement Learning
ML

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About this position

This research opportunity at DEVCOM Army Research Laboratory focuses on developing novel methods for cyber deception. The project invites a researcher to design, develop, publish, and prototype adaptive deception systems that can respond proactively and reactively in secure communication networks.

The work centers on the generation, deployment, design, and reconfiguration of decoy assets such as honeypots, honeynets, and honey-tokens. The research direction combines game theory, reinforcement learning, and state-of-the-art artificial intelligence methods to model complex adversarial decision-making and to adapt systems to human or agent actions and changing contextual situations.

The opportunity sits within the Network Cyber & Computational Sciences (NCCS) area, which is described as enabling secure and resilient communication networks for distributed analytics in multi-domain operations. The broader ARL research environment spans scientific and technical areas relevant to the Army, including communication and networking and computational and information sciences.

The advertised advisor is Dr. Charles Kamhoua.

Funding details

Available

What's required

Applicants must have a Master's degree or Doctoral degree. Eligible academic levels include Master’s Degree (Journeyman Fellow), Master’s Degree with 7+ years (Senior Fellow), or Doctoral Degree (Postdoctoral Fellow). The opportunity specifically seeks experience in game theory, multi-agent reinforcement learning, and machine learning, and is oriented toward candidates from computer, information and data sciences, engineering, mathematics and statistics, or physics. A complete application must include a CV or resume, three reference forms, and transcripts verifying receipt of degree; student/unofficial copies are acceptable. If selected, the participant must also prepare a research proposal with a clear objective, defined outcome, planned direction, expected period for completion, brief background, and references to published efforts.

How to apply

Apply through the Zintellect opportunity page. Upload the required CV or resume, references, and transcripts with the online application. If selected by an advisor, prepare and submit the research proposal through the provided upload link.

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