Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Indu[...]

Karlstad University; Zürich; Vor Ort; CHF 60.000 - 80.000; Vollzeit

Benefits dieser Stelle

Excellent research environment

Supervision by internationally recognized experts

International secondments across Europe

Zusammenfassung

ETH Zürich offers a Marie Skłodowska-Curie Doctoral Training Network position focused on Coupled Problems for Decarbonization in Industry and Power Generation. The role entails developing advanced tomographic techniques for evaluating vibrations in rod bundles, requiring a Master's degree in a related field and skills in mathematics, machine learning, and programming.

Candidates are expected to work in an international research environment with opportunities for secondments across Europe. Excellent research facilities and supervision by top experts are provided.

Qualifikationen

• Strong background in mathematics and machine learning.
• Programming proficiency in Python, C++ or similar.
• Experience with data processing and model interpretation.
• Good written and spoken English.

Aufgaben

• Develop advanced tomographic techniques to evaluate vibrations in rod bundles.
• Construct a setup with a single rod and a rod bundle.
• Perform measurements using a gamma-tomography system.
• Conduct AI-assisted reconstruction and imaging.

Kenntnisse

Mathematics

Machine Learning

Python programming

C++ programming

Ausbildung

Master's degree in engineering, physics, applied mathematics, computer science, or closely related field

Jobbeschreibung

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

ETH Zürich is well known for its excellent education, ground-breaking fundamental research and for implementing its results directly into practice.

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

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.

• 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 basicelectronics 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
• The research group offices andexperimental 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. 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

Further information about the Laboratory of Nuclear Systems and Multiphase Flowscan be found on our Website .Questions regarding the position should be directed to Prof. Annalisa Manera, [e-mail](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.

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

Job details

Title

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