About the Role
Scientist, AI & Analytics (RDSS)
**Date:** Jun 18, 2026
**Location:** Hsinshu, TW, 310
**Company:** Corning
**Day to Day Responsibilities:**
• Serve as a Scientific Machine Learning (SciML) Scientist, bridging physics‑based modeling and modern deep learning to address complex manufacturing and engineering challenges.
• Develop hybrid modeling frameworks that integrate mechanistic solvers with data‑driven ML components, enabling robust, interpretable, and scalable SciML workflows.
• Build high‑performance AI surrogate models to accelerate numerical simulations (e.g., CFD, FEA), reducing computational turnaround time while preserving physical consistency.
• Provide technical leadership for SciML research initiatives supporting Corning RD&E, guiding projects from problem formulation through model validation and deployment.
• Lead the development and customization of novel SciML solutions for manufacturing systems across multiple Corning b...
**Date:** Jun 18, 2026
**Location:** Hsinshu, TW, 310
**Company:** Corning
**Day to Day Responsibilities:**
• Serve as a Scientific Machine Learning (SciML) Scientist, bridging physics‑based modeling and modern deep learning to address complex manufacturing and engineering challenges.
• Develop hybrid modeling frameworks that integrate mechanistic solvers with data‑driven ML components, enabling robust, interpretable, and scalable SciML workflows.
• Build high‑performance AI surrogate models to accelerate numerical simulations (e.g., CFD, FEA), reducing computational turnaround time while preserving physical consistency.
• Provide technical leadership for SciML research initiatives supporting Corning RD&E, guiding projects from problem formulation through model validation and deployment.
• Lead the development and customization of novel SciML solutions for manufacturing systems across multiple Corning b...
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