Job Description
Job Description: Job description: Airframe Data Scientist - Robust AI/ML Team: Structures - Aerostructure Data Management Background : Designing, optimizing, and validating robust airframe structures is a fundamental aspect of aviation that ensures aircraft safety and performance. The Advanced Capabilities cluster in Aerostructure Data Management team focuses on bridging traditional structural engineering with advanced digital technologies including artificial intelligence. By integrating physics-based modeling with cutting-edge data-driven approaches, the team aims to enhance the airframe lifecycle, streamline structural analysis, and extract actionable insights from historical and operational data. Role : The candidate will act as a Data Scientist / Machine Learning Engineer focusing on Airframe-related applications with the task to provide safe, robust, and balanced data-driven/hybrid design solutions. She/He will play a key role in developing and deploying advanced AI solutions that augment and accelerate structural engineering. Key activities include: Developing Surrogate Models to accelerate structural simulations. Implementing Hybrid Modelling (physics + data) and Scientific Machine Learning techniques. Exploring and applying Large Language Models (LLMs) to assist in Finite Element Analysis (FEA) workflows. Utilizing Computer Vision and AI techniques for automated CAD/mesh quality inspection. Engaging in data engineering and knowledge graph creation from unstructured legacy documents to preserve and utilize engineering know-how. Ensuring rigorous Verification, Validation, and Uncertainty Quantification (VVUQ) of AI/ML solutions deployed within the Airframe perimeter. Technical Skills Key Skills Machine learning and Deep learning code development and deployment Expertise in Surrogate Modelling, Hybrid Modelling (physics + data), and Scientific Machine Learning Experience in Computer Vision (e.g., for CAD/mesh inspection), Natural Language Processing & Generati
