AI-Driven Strategic Capacity Planning: From Data and Semantic Readiness to Intelligent Decision Support
Nijmegenonsite
Posted today · via Workday
About this role
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
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
We compare your skills against the role requirements.
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Nijmegen. We weight your proximity and willingness to relocate.
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Free · no card · written explanation included