Physics-Based and AI/ML Simulation Modeling

The contract seeks the development of advanced physics-based and artificial intelligence/machine learning simulation models designed to enable predictive maintenance, scenario testing, and operational optimization for complex systems. These models must be capable of integrating seamlessly with real-time sensor data streams to provide accurate, dynamic insights that enhance system reliability and performance. The work is focused on creating simulations that bridge theoretical physical principles with data-driven learning techniques to anticipate failures, evaluate operational responses under varying conditions, and optimize efficiency across the lifecycle of the assets involved. This subcontract is issued by the National Research Council of Canada under the Government of Canada, with a NAICS code of 541620 indicating it falls within scientific research and development services. The solicitation was posted on May 28, 2026, and responses are due by June 29, 2026. The place of performance and specific location details are not provided, and there is no set-aside designation specified. Interested parties must submit their proposals through the official Canadian government procurement portal prior to the deadline.