AI-Driven Information Asset Valuation & Selection

ORAU; Adelphi (MD); On-site; USD 60,000 - 70,000; Full time

Job summary

ORAU, on behalf of the ARL Research Associateship Program (ARL-RAP), invites applications for a research opportunity focused on context-aware learning models to select information assets from high-dimensional data. The project applies state-of-the-art machine learning, computational modeling, and statistical inference to quantify confidence and adapt to human or agent actions in dynamic environments.

Eligible applicants hold a Master’s or Doctoral degree in relevant fields and must meet ARL

Qualifications

• Master’s Degree or Doctoral Degree in a relevant field (e.g., CS/IS/Math)
• Strong background in AI/ML research and high-dimensional data analysis
• Ability to design and validate learning models and quantify model confidence

Skills

AI & ML research

High-dimensional data

Computational modeling

Statistical inference

Python/MATLAB

Education

Master’s Degree or Doctoral Degree

Tools

Python

MATLAB

R

Job description

ORAU, on behalf of the ARL Research Associateship Program (ARL-RAP), invites applications for a research opportunity focused on context-aware learning models to select information assets from high-dimensional data. The project applies state-of-the-art machine learning, computational modeling, and statistical inference to quantify confidence and adapt to human or agent actions in dynamic environments.

Eligible applicants hold a Master’s or Doctoral degree in relevant fields and must meet ARL