Development of Process-Mining and Petri-Net-Based Decision Models for Quality-Aware Semiconductor Manufacturing - 2026_CDR_DENG_14

Position: Post-doctoral research contract Institute: Polytechnic of Milano
Posted on: 02/07/2026 Deadline: 01/08/2026

Scientific-Disciplinary Group

09/IIND-07 - Thermal Sciences, Energy Technology, Building Physics And Nuclear Engineering

Description

In the context of the European project MOSAIC, we aim to develop data-driven and interpretable models, based on process mining and Petri Nets, for the analysis and decision support of complex semiconductor manufacturing processes, with particular attention to quality and reliability improvement. Starting from production, logistics and test data, the activity aims to reconstruct actual process trajectories, identify route variants, bottlenecks, deviations and feedback delays, and enrich the resulting models with quality and reliability information. Building on expertise in Petri Nets, discrete-event systems, scheduling and optimization, the research will extend these methods towards quality-aware decision models able to relate process execution, test measurements, inspection results, yield indicators and failure/return information. The objective is to support interpretable and data-driven decisions for improving production performance, quality and reliability.

Job posting website

https://www.polimi.it/en/bandi-per-contratti-di-ricerca

Number of positions

1

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

Click to expand
https://www.polimi.it/en/bandi-per-contratti-di-ricerca Quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 20 points) Relevance and significance of previous research activities and professional experience in relation to the research program (up to 20 points) Relevance and significance of submitted publications with respect to the research program (up to 30 points) Interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 30 points)

View the original posting on the MUR website: Go to MUR website

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