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    Intelligent Decision Aids

    Develop decision support systems using AI, machine learning, and other techniques for applications like threat analysis, planning, and knowledge extraction.

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    This grant is no longer accepting proposals

    NRC Research Associateship Programs has archived this opportunity.

    Funder: NRC Research Associateship Programs

    Due Dates: May 1, 2025 (Next deadline)

    Funding Amounts: $99,200 stipend plus $3,000 travel allowance; relocation assistance available; typical fellowship duration 2-3 years.

    Summary: Postdoctoral fellowship to conduct research on innovative AI-based decision support systems at the Naval Research Laboratory, focusing on intelligent agents, machine learning, and explainable AI.

    Key Information: Open to U.S. citizens and permanent residents with a recent doctoral degree; requires contacting a Research Adviser prior to applying; health insurance provided.


    Description

    This fellowship opportunity supports postdoctoral research at the Naval Research Laboratory (NRL) in Washington, DC, focused on the development and evaluation of advanced decision support systems. Research areas include intelligent agents (with emphases on goal reasoning, planning, and acting), machine learning techniques such as generative AI and deep learning, case-based reasoning, and explainable AI (XAI) algorithms. Projects may also involve knowledge-based systems with integrated ontologies to assist user inferencing.

    Past and current projects cover a broad range of topics including transfer learning, active learning, statistical relational learning, anomaly detection (e.g., maritime threat analysis), intelligent agents in gaming and training environments, mixed-initiative planning to reduce planning time, intelligent lessons learned systems, and knowledge extraction from text documents.

    The program fosters collaboration with academia, industry partners, other Department of Defense (DoD) labs, and stakeholders who benefit from prototype systems developed by the research group. The group often includes postdoctoral and visiting summer researchers.

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