Learning-based Modeling Approach for Information Asset Valuation and Selection

About the Research

This research opportunity is to develop novel methods for information assets selection and content filtering from high dimensional data. Specifically, the opportunity will develop and validate an approach for context aware and adaptive learning models for selecting the most relevant and valuable information assets from high dimensional streaming data and quantification approaches to confidence levels on the models. Specifically, this project focuses on utilizing state-of-the-art machine learning algorithms to dynamically adapt to, or learn from human or agent actions and contextual situations and environments.

Requirements

• Curriculum Vitae or Resume
• Three References Forms
• Transcripts
• Research Proposal

Qualifications

• Degree: Master's Degree or Doctoral Degree.
• Academic Level(s): Master’s Degree (Journeyman Fellow), Master’s Degree 7+ years (Senior Fellow), Doctoral Degree (Postdoctoral Fellow), or Doctoral Degree 5+ years (Senior Fellow).
• Age: Must be 18 years of age

Skills

Keywords: AI, Machine Learning, Computational modeling, Optimization, Distribution theories, Statistical Inference, Modeling, and Simulation

About Army Research Directorate (ARD)

ARD’s focus is on exploiting concept development, discovery, technology development, and transition of the most promising disruptive science and technology to deliver to the Army fundamentally advantageous science-based capabilities through laboratory’s 11 research competencies. This intramural research directorate also manages the laboratory’s essential research programs, which are flagship research efforts focused on delivering defined outcomes.

About ARL-RAP

The ARL Research Associateship Program (ARL-RAP) is designed to significantly increase the involvement of creative and highly trained scientists and engineers from academia and industry in scientific and technical areas of interest and relevance to the Army. Scientists and Engineers at the CCDC Army Research Laboratory (ARL) help shape and execute the Army's program for meeting the challenge of developing technologies that will support Army forces in meeting future operational needs by pursuing scientific research and technological developments in diverse fields such as: applied mathematics, atmospheric characterization, simulation and human modeling, digital/optical signal processing, nanotechnology, material science and technology, multifunctional technology, combustion processes, propulsion and flight physics, communication and networking, and computational and information sciences.

Contact Information

Questions about this opportunity? Please email ARLFellowship@orau.org