Data Science & AI/ML for Scientific Discovery

This contract involves the development of machine learning models aimed at advancing scientific discovery, specifically in fields such as materials science, climate studies, and sensor data analysis. The focus is on creating interpretable artificial intelligence solutions that can be integrated with physics-based models, enhancing the ability to extract meaningful insights in complex scientific domains. The work is intended to support the Department of Energy's efforts by combining data-driven approaches with established physical principles. Scheduled as a subcontract under NAICS code 541512, the opportunity was posted in January 2026 and has a response deadline set for mid-July 2026. The place of performance is identified by the zip code 87123, though specific location details are not provided. This contract aligns with the Department of Energy’s objective to leverage advanced data science and AI/ML techniques to drive innovation and improve understanding within critical research areas.