PhD Position

**Job Description**
This PhD project aims to develop a hybrid AI framework for quality control in additive manufacturing-based remanufacturing. The objective is to improve real-time decision-making for sustainable, high-performance production by addressing the challenges of consistent quality in complex, nonlinear processes. The research will combine data-driven and model-based approaches to assess part quality, monitor in-process performance, and support intelligent remanufacturing decisions, contributing to the Dutch circular economy as part of the national Add-reAM project. The successful candidate will be embedded within the OPAC group at TU/e and collaborate with a multidisciplinary consortium.

**Skills & Abilities**
• Passion for the future of circular manufacturing and intelligent quality control.
• Ability to develop AI-powered frameworks.
• Knowledge of data-driven and model-based approaches.

**Qualifications**
Required Degree(s) in:
• Industrial Engineering
• Artificial Intelligence
• Manufacturing Engineering (or related fields suitable for a Ph.D. in this domain)

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