Technologies for Safety of Machine Learning and Reinforcement Learning Systems

Key Skills

Java Programming, Python Programming, SQL, Machine learning techniques, Reinforcement Learning, Statistics

Job Description

Project Description

Artificial intelligence (AI), including machine learning and reinforcement learning, holds the potential to revolutionize aerospace systems by automating critical decision-making tasks. However, due to the black box nature of AI systems, safety and trust remain two of the biggest challenges to the deployment of these systems.

This project seeks to research and develop advanced tools for:

(1) finding failures through accelerated stress testing using reinforcement learning; and

(2) explaining machine learning and reinforcement learning models and their output. Prospective interns should have experience in rapid software development, machine learning, and reinforcement learning.

Interns can help with one or more of two roles:

(1) Help design, develop, and perform experiments for stress testing of safety-critical systems accelerated by reinforcement learning; and

(2) help design, develop, and perform experiments for explaining image classifiers. Please indicate role preference, if any, in application. During this project, the intern will gain research experience in machine learning and reinforcement learning.

Academic Level

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 - Data Processing;Computer and Information Sciences - Information Science/Studies;Engineering - Aerospace / Aeronautical and Astronautical Engineering;Engineering –

Computer;Engineering - Electrical / Electronics / Communications Engineering;Engineering - General;Engineering - Mechatronics / Robotics / Automation Engineering

Mission Directorate

Aeronautics Research Mission Directorate