Post-Doctoral Fellow in AI for Forensic Firearm and Toolmark Analysis George Washington University in United States

George Washington University and NIST are seeking a Post-Doctoral Fellow / Researcher in Artificial Intelligence for Forensic Firearm and Toolmark Analysis in Gaithersburg, Maryland, United States.

This opportunity sits at the intersection of computer science, statistics, forensic science, and physics, with a strong emphasis on AI/ML methods for objective evidence analysis in the courtroom. The project focuses on developing computational pipelines for image segmentation and comparison of toolmarks on cartridge cases, bullets, and 3D-printed materials. The work also includes explainable AI (XAI), benchmarking against traditional forensic procedures and human examiners, and uncertainty quantification for legal testimony and standards development.

Eligibility highlights include a Ph.D. or Master’s in Computer Science, Statistics, Forensic Science, or Engineering, plus proficiency in Python or MATLAB and research experience in AI/ML applied to image analysis. The post also seeks someone with interest in the ethical use of AI, including model bias and robustness.

Funding details are not specified in the post, but the role is presented as a post-doctoral fellowship/research position. The location is the NIST Campus in Gaithersburg, MD, and the work is framed as contributing to scientific standards for forensic evidence in the United States.

Applicants should use the provided application link to proceed. No deadline is stated in the post.