Resilient RF Machine Learning for Dynamic and Novel Emitter Environments
About the role
The Army Research Laboratory (ARL) in San Antonio is seeking a U.S. citizen interested in developing artificial intelligence (AI) and machine learning (ML) for radio frequency (RF) sensing. The ideal candidate will be part of the team that develops new paradigms and technical approaches based on AI/ML that enable learning, adapting, and performing automated detection, classification, modulation recognition, and application intent of complex RF emitters in Multi Domain Operations (MDO) environments.
Responsibilities
- Real-world data driven development of customized, lightweight, scalable algorithms AI/ML for RF applications.
- Internship will primarily involve algorithm development but may include participation in data collections and field tests.
- Publish a paper in a peer-reviewed journal.
Requirements
Citizenship: U.S. Citizen Only
Degree: Doctoral Degree.
Academic Level(s): Bachelor’s Degree (Journeyman Fellow), Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), or Doctoral Degree 5+ years (Senior Fellow).
Qualifications
Discipline(s):
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