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September 8, 2025

**Job Description**
This PhD project focuses on developing models and methods for sustainable spare parts management utilizing additive manufacturing techniques. The research aims to transform current practices reliant on large inventories and long lead times into more sustainable operations by exploring on-demand, local, and potentially circular production. The work combines mathematical modelling and case-based research, contributing to circular and data-driven supply chains as part of the national Add-reAM program.

**Skills & Abilities**
• Mathematical modelling
• Case-based research
• Operations research techniques
• Artificial intelligence techniques (potential)

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Work Level
Ph.D
Employment Type
Scholarship
Details
Full-time / Temporary Brief location description: Campus-based
School / Department / Center / Lab
• Operations, Planning, Accounting and Control (OPAC) group • Department of Industrial Engineering and Innovation Sciences (IE&IS)
Supervisor Email
See Details

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