Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE)
ETH Zürich —Zürich, ZH
- 100%
- Informatik
- Englisch
- Master
17 Std.

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Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE)
ETH Zürich —Zürich, ZH
Strong background in mathematics and machine learning. Artificial intelligence and machine learning for engineering applications.
17 Std.

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

ETH Zürich -
Zürich, ZH

Jetzt bewerben

Details zur Stelle

100%
vor 17 Stunden

Qualifikationen

Informatik
Englisch
Master
C++
Python

Vollständige Stellenbeschreibung

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 evalute 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

Workplace

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.

We look forward to receiving your online application with the following documents:

CV
Transcripts
Cover letter

Further information about the Laboratory of Nuclear Systems and Multiphase Flows can be found on our Website. Questions regarding the position should be directed to Prof. Annalisa Manera, [email protected] (no applications).

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

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

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

100%, Zurich, fixed-term

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