Edge ML for RF Sensing in Dynamic Emitter Environments

ORAU; San Antonio (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

ORAU in San Antonio is seeking a U.S. citizen for a position developing artificial intelligence (AI) and machine learning (ML) for radio frequency (RF) sensing. The ideal candidate will help create AI/ML algorithms and will participate in data collection and field tests.

Qualifications include a Doctoral Degree and experience in programming languages like LabView, MATLAB, and Python. The role may involve publishing research in peer-reviewed journals.

Qualifications

• Experience in software programming such as LabView, MATLAB, and Python.
• Familiarity with self-supervised learning and foundational AI models.
• Experience deploying and evaluating AI systems in real-world scenarios.

Responsibilities

• Develop customized, lightweight, scalable AI/ML algorithms for RF applications.
• Participate in data collection and field tests as needed.
• Publish findings in a peer-reviewed journal.

Skills

Software programming (LabView, MATLAB, Python)

Familiarity with foundational models

Real-world deployment of AI systems

Working with large streaming datasets

Embedded edge devices experience

Education

Doctoral Degree

Master's Degree

Bachelor's Degree

Job description

ORAU in San Antonio is seeking a U.S. citizen for a position developing artificial intelligence (AI) and machine learning (ML) for radio frequency (RF) sensing. The ideal candidate will help create AI/ML algorithms and will participate in data collection and field tests.

Qualifications include a Doctoral Degree and experience in programming languages like LabView, MATLAB, and Python. The role may involve publishing research in peer-reviewed journals.