PhD in Vibrations of Rods and Rod Bundles Using High-Resolution Gamma Tomography ETH Zürich in Switzerland

ETH Zürich is recruiting a motivated PhD student for the Marie Skłodowska-Curie Doctoral Training Network COMBINE (Coupled Problems for Decarbonization in Industry and Power Generation).

The project focuses on high-resolution experimental measurements of vibrations in rods and rod bundles using an in-house high-resolution gamma tomography system. The research sits at the intersection of mechanical engineering, physics, computer science, and materials science, with strong links to fluid-structure interaction, nuclear safety, experimental methods, sensor technologies, data analysis, and AI/ML for engineering applications.

Planned work includes building a setup with a single rod and rod bundle, measuring vibrating rods/rod-bundles with gamma tomography, and developing AI-assisted reconstruction and imaging methods using sensor and tomography data. Machine learning will be used for noise reduction and data enhancement.

Eligibility highlights: a Master's degree in engineering, physics, applied mathematics, computer science, or a closely related field; strong mathematics and machine learning background; programming skills in Python, C++, or similar; experience with data processing and model interpretation; good English; and an advantage for hands-on experimental setup and basic electronics knowledge.

Funding: the position is part of a Marie Skłodowska-Curie Doctoral Training Network and offers a competitive salary, interdisciplinary training, and secondments at academic and industrial partner institutions across Europe.

Application: submit a CV, transcripts, and cover letter via the ETH Zürich online application portal. Applications by email or postal mail are not considered. Questions should be directed to Prof. Annalisa Manera at [email protected].