Machine Learning Engineer

• Develop and apply ML and optimization techniques to guide lightweighting strategies.
• Use reasoning-based ML approaches to evaluate trade-offs among performance, manufacturability and other criteria.
• Apply Bayesian optimization and related uncertainty-aware methods to balance performance, manufacturability, and other constraints.
• Build reproducible workflows that integrate materials data, manufacturing methods, and simulation outputs.
• Curate and analyze structured datasets on materials, processing routes, and mechanical properties to support ML pipelines.
• Collaborate with engineers and computer scientists to connect ML outputs with structural and materials design tasks.
• Write technical reports and present results to technical and non-technical stakeholders.

Postdoctoral Researcher – Machine Learning for Materials and Alloys

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