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AI-Driven Strategic Capacity Planning: From Data and Semantic Readiness to Intelligent Decision Support

Nxp

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Questions you are likely to be asked

  1. Why do you want to join Nxp?
  2. What would you check first if a model's accuracy dropped after going live?
  3. When would you not use machine learning for a problem?
  4. Walk me through a model you built, from the data to how it was used.
  5. How did you know your model was actually good, and not just good on your test set?

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The objective is to investigate how Strategic Capacity Planning data and semantic knowledge can be transformed into an effective AI-based decision-support capability. The student will first assess the available data, semantic model, and candidate use cases. Based on this analysis, the most promising AI use case will be selected and formulated as a concrete research problem. The student will subsequently design, implement, and evaluate an appropriate AI solution using real-world semiconductor planning data. Rather than treating AI readiness assessment and AI development as separate activities, the project investigates the complete pathway from data and domain knowledge to an experimentally validated AI solution. More information about NXP in the Netherlands... #LI-3623

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Listed on workday · posted 2026-11-03. ApplySarthi collects openings and links to application pages; the role is advertised by Nxp, not by us.