This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration’s scientific research.
Research Title: Measurement Science for AI Decision-Making in Automated Driving Systems
The work will entail: The Measurement Science for Automated Vehicles project at NIST is seeking a candidate to support measurement science research for AI decision-making in automated vehicles. This position contributes to NIST’s development of a tiered measurement framework for evaluating AI decision-making performance. The candidate will focus on two core areas: 1) building and curating a scenario database for decision-making evaluation and 2) developing standardized state representations for the evaluation framework.
U.S. Citizen Preferred
Key responsibilities will include but are not limited to:
- Scenario Database Development
- Build and curate a database of behavioral planning test scenarios sourced from Safety Pool™ and other relevant datasets
- Develop scenario classification and tagging systems to support systematic evaluation of behavioral competencies (e.g., lane changes, merges, yielding, intersection navigation)
- Implement tools for scenario selection, parameterization, and configuration for use in simulation-based testing
- Create methods for generating scenario variants to ensure comprehensive coverage of edge cases and challenging traffic situations
- Vehicle State Representation
- Design and implement a standardized format for representing vehicle state information exchanged between the simulation environment and the automated driving (AD) stack under test
- Define world state schemas that capture relevant traffic context, road geometry, and dynamic agent information needed for behavioral planning evaluation
- Develop message schemas and interface specifications for the Evaluation Gateway, including cryptographic hashing methods for data integrity verification
- Ensure compatibility of state representations with industry standards and common AD stack architectures (both end-to-end and modular)
Qualifications
- MS or (BS + 2 years of experience) in Computer Science, Robotics, AI/Machine Learning, or related engineering fields
- Strong programming experience in Python and C++, with familiarity with AI/ML frameworks (TensorFlow, PyTorch, etc.)
- Experience with autonomous vehicle simulation environments (CARLA, SUMO, or similar)
- Knowledge of autonomous vehicle systems architecture and behavioral planning concepts
- Experience with ROS 2 on Linux systems
- Experience with version control software and workflow (Git/GitHub/GitLab)
- Understanding of data modeling principles and validation methodologies
- Familiarity with database design and management for storing and querying structured scenario data
Privacy Act Statement
Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c)
Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor’s degree holders, graduate students, master’s degree holders, postdocs, and faculty.
PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program.
Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates.
Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated.
SURA is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion, or sexual orientation. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status, or any other basis as protected by federal, state, or local law.
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