Senior Materials Informatics EngineerLocation: Hybrid Company: Ferritico Employment type: Full-timeFerritico is looking for a Senior Materials Informatics Engineer to develop, validate, and productize physics informed machine learning models for advanced materials, with a strong focus on steel, metallurgy, heat treatment, phase transformations, and process-property relationships.This is a mid- to senior-level technical role for someone who enjoys working at the intersection of materials science, computational modeling, machine learning, and product development. About the roleYou will contribute to the development of computational and machine learning models for metals and metallurgical applications. The role involves translating materials science expertise into clear model logic, validation workflows, technical requirements, and product features.You will help ensure that scientific models are technically sound, well-documented, validated, and aligned with real industrial engineering needs.Key responsibilitiesDevelop computational and ML-based models for steel metallurgy, heat treatment, transformation temperatures, phase transformations, microstructure evolution, and process-property relationships.Define model assumptions, expected behavior, validation datasets, limitations, and acceptance criteria.Improve AI model performance by integrating materials science expertise and physics-informed modeling approaches.Identify data correlations between process, structure, and properties in steel processing and industrial applications.Retrieve, structure, clean, and curate materials data from literature, synthetic datasets, experiments, and other sources.Use Python-based workflows for data treatment, model execution, input preparation, output analysis, and visualization.Test AI s…