CareerPlan

Statistical method | Internship: Bayesian methods for system-level qualification

Veldhoven, NetherlandsInternship2026-11-04 → 2026-11-10
Hybrid

Core

Develop and validate a proof-of-concept Bayesian statistical model for system-level overlay qualification to improve engineering decision-making.

Role type

Master's level intern, statistical modeling (Bayesian methods)

Builds

Proof-of-concept statistical models and validated tooling for overlay qualification

Domain

Semiconductor manufacturing / Overlay measurement / System qualification

Deliverable

production ML models

Required skills

Bayesian statistics, MATLAB, statistical modeling, quantitative analysis, data analysis, mathematical modeling

Responsibilities

Analyze complex overlay measurement datasets; Develop and validate a Bayesian statistical model; Evaluate approach using real or simulated data; Compare methodology with current practices; Document statistical methodology; Implement validated tooling in MATLAB