Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE)

ETH Zurich; Zürich; On-site; CHF 60,000 - 85,000; Full time

Benefits offered by this job

Competitive salary

Research environment

Secondments

Job summary

ETH Zurich invites applications for a Marie Skłodowska-Curie Doctoral Training Network position within COMBINE, focusing on high-resolution tomographic measurements of vibrations in rods and rod bundles. The project offers international secondments, rigorous interdisciplinary training, and access to state-of-the-art facilities at PSI and ETH Zurich.

Researchers will engage in AI-assisted reconstruction, data analysis, and machine-learning based noise reduction, contributing to energy and

Qualifications

• Master's degree in engineering, physics, applied mathematics, computer science, or closely related field.
• Strong background in mathematics and machine learning.
• Hands-on experience with experimental setup and data interpretation.

Responsibilities

• Prepare and operate the gamma-tomography setup for vibration measurements.
• Perform measurements on single rod and rod-bundle configurations.
• Apply AI-assisted reconstruction and analysis of tomography data.
• Develop machine-learning approaches for noise reduction and data enhancement.

Skills

Math & ML

Python

C++

Data analysis

English proficiency

Education

Master's degree in engineering/physics/math/CS

Tools

Python

C++

Job description

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 background

Project 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

Profile

• 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 of advantage

We offer

• 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

We value diversity and sustainability

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. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us - we are consistently working towards a climate-neutral future.

Curious? So are we.

About ETH Zürich

ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.