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Job Summary 

Serve as the Freudenberg Group's subject matter expert in generative AI and physics-informed machine learning for product, formulation, material/process discovery and design. Responsible to develop advanced data-driven and physics-based models and interface the two to guide and accelerate the development of products, materials and processes for sustainable solutions and new mobility applications. 

Essential Duties and Responsibilities

Please contact raj.gopalaswamy [at] novelis.com if you think you have the scientific/technical combined with managerial experience.

Measuring forming limit diagrams (FLDs) is a time consuming and expensive process. Machine learning (ML) methods are a promising route to predict FLD of aluminium alloys. In the present work, we developed a machine learning (ML) based tool to establish the relationships between alloy composition / thermomechanical processing route to the material's FLD.

The NUMISHEET conference series is the most significant international conference on the area of the numerical simulation of sheet metal forming processes. Within Numisheet 2020, we are organizing a mini symposium on “Challenges and Opportunities in Forming Aluminum”.

Atlanta-based Novelis Inc. and Georgia Tech have announced a new collaboration to establish the Novelis Innovation Hub at Georgia Tech. The company has committed $2.5 million to initiate research, faculty, student, and educational program support. The collaboration will promote basic and translational research, innovative business models, and related educational endeavors at Georgia Tech and will serve as a cross-functional hub connecting Novelis’ technical and business innovators with Georgia Tech’s students and faculty.

This position is strictly for experienced candidates and is located at our Global R&T Centre in Kennesaw GA. Please get in touch with me if this role matches your experience. Job Description 

Job Description