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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7co5y0

Job Description
This Master’s Thesis offers the opportunity to work on a high-impact engineering project at the intersection of pharmaceutical manufacturing, heat transfer, and computational modelling. The selected candidate will contribute to the development of a multiscale numerical workflow designed to predict the thermal history of pharmaceutical glass containers moving through depyrogenation tunnels, a critical process step in aseptic manufacturing.

Job Description
This Master’s Thesis offers the opportunity to work on a high-impact engineering project at the intersection of pharmaceutical manufacturing, heat transfer, and computational modelling. The selected candidate will contribute to the development of a multiscale numerical workflow designed to predict the thermal history of pharmaceutical glass containers moving through depyrogenation tunnels, a critical process step in aseptic manufacturing.
This project is part of a broader industrial digital twin initiative aimed at extending thermal assessment beyond standard qualification scenarios. It offers the chance to apply advanced simulation methods to a real industrial challenge, supporting process understanding, validation, and future digitalization efforts in a highly regulated environment.
Main Activities

- Analyse available qualification and experimental data related to depyrogenation tunnel performance;
- Extract and structure boundary conditions for thermal and flow simulations;




- Develop Python-based tools, including a vial-array pre-processor and supporting numerical utilities;
- Implement and use thermal solvers to estimate vial temperature evolution;
- Perform micro-scale CFD simulations to derive heat-transfer inputs for the larger model;
- Support macro-scale CFD simulations of the depyrogenation tunnel environment;
- Compare model predictions with an available experimental case for preliminary validation.

Qualifications
We are looking for an MSc student with a structured and analytical mindset, a strong interest in Computational Fluid Dynamics (CFD), heat transfer, and numerical modelling, and a practical approach to coding and experimental data interpretation. Experience with Python is highly valuable, and familiarity with Ansys Fluent or similar CFD tools would be considered a plus.
Preferred academic backgrounds include Mechanical Engineering, Industrial Engineering, or related disciplines. Candidates from compatible fields with relevant modelling experience are also welcome. Good written and spoken English and Italian is required.

- Starting date: September 2026

About Us
We are a dynamic organization with great customers and a culture where people are valued and empowered to deliver amazing results. We are also growing and looking to hire talented and passionate individuals to join our team!

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Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7co5y0