Java Programming, Python Programming, SQL, Machine learning techniques, Statistics
Project Description
This project explores the use of innovative and emerging applications of AI/ML (e.g., Natural Language Processing) to digitize and analyze heritage air traffic management documents for planning and optimizing efficient airspace operations. Given the rich volume of available data and the complexity of the problem space, this is an ideal candidate for the application of advanced AI and machine learning. The research is focused on harvesting semi-structured or unstructured information contained in NOTAMs (Notices to Airman), Letters of Agreement (LOAs) and enabling automation (e.g., Traffic flow management) by extracting and sharing the digitized information. This information will be used by various National Airspace System (NAS) users to optimize current day flight operations and also enable future manned/unmanned mixed-use operations. Interns will develop a project plan with scope, milestones, and deliverables to construct a data pipeline that finds language patterns for classification and extraction of useful data. Interns will work collaboratively with NASA personnel and other government organizations. Prefer background and/or interest in data science, statistical analysis, speech recognition, and software development.
Academic Level
Undergraduate Freshman;Undergraduate Sophomore;Undergraduate Junior;Undergraduate Senior;Graduate Master's;Graduate Doctoral
Preferred Major
Computer and Information Sciences - Computer/Information Technology Administration and Management;Computer and Information Sciences - Computer Programming;Computer and Information Sciences - Computer Science;Computer and Information Sciences - Computer Systems Networking and Telecommunications;Computer and Information Sciences - Data Processing;Computer and Information Sciences - Information Science/Studies;Engineering - Aerospace / Aeronautical and Astronautical Engineering;Mathematics - Mathematics and Statistics;Mathematics - Statistics;Multi-disciplinary - Computational Science;Multi-disciplinary - Mathematics and Computer Science
Mission Directorate
Aeronautics Research Mission Directorate
The National Aeronautics and Space Administration is an independent agency of the U.S. federal government responsible for the civil space program, aeronautics research, and space research.
Langley, McLean, VA, USA
0-2 year
Goddard, MD, USA
0-2 year
Goddard, MD, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year
Langley, McLean, VA, USA
0-2 year