Marie Skłodowska-Curie Doctoral Training Network - Coupled Problems Decarbonization in Indu
Listed on 2026-06-21
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Research/Development
Data Scientist, Research Scientist, Artificial Intelligence -
Engineering
Research Scientist, Artificial Intelligence
Location: Zürich
Marie Skłodowska‑Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE) 100%, Zurich, fixed-term
The Marie Skłodowska‑Curie Doctoral Training Network COMBINE brings together 17 academic institutions and 14 industrial partners across Europe. The network addresses key challenges in fluid–structure interaction (FSI) relevant to energy, process, and materials engineering, with a strong focus on:
- Advanced numerical modelling and simulation
- Experimental methods and sensor technologies
- Data analysis of real‑world monitoring data
- Artificial intelligence and machine learning for engineering applications
Researchers in COMBINE benefit from interdisciplinary, international, and inter‑sectoral training, including secondments at leading academic and industrial partner institutions across Europe.
Project backgroundProject title:
High resolution experimental measurements of vibrations in rods and rod bundles using ensemble average high-resolution gamma tomography measurements.
This project focuses on the development of advanced tomographic techniques to evaluate vibrations in rod bundles. The research will leverage our in‑house, state‑of‑the‑art, high‑resolution gamma tomography system.
Job description- Construction of a setup with a single rod and a rod bundle
- Measurements of vibrating rod/rod‑bundle using our in‑house gamma‑tomography system
- AI‑assisted reconstruction and imaging of vibrating rods/bundles using sensors and tomography data
- Use of machine‑learning for noise reduction and data enhancement
- Master's degree in engineering, physics, applied mathematics, computer science, or closely related field
- Strong background in mathematics and machine learning
- Programming proficiency in Python, C++ or similar
- Experience with data processing and model interpretation
- Ability to work independently and collaboratively in an international research environment
- Good written and spoken English
- Hands‑on experience with experimental setup and basic electronics understanding is an advantage
- Excellent research environment
- Supervision by internationally recognized academic and industrial experts
- Network‑wide training events and local courses in technical and transferable skills
- International secondments at academic and industrial partner institutions across Europe
- Competitive salary
- The research group offices and experimental laboratory are located at Paul Scherrer Institute (PSI), Forschungsstrasse 111, 5232 Villigen
In line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. We are consistently working towards a climate‑neutral future.
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