Overview
In this PhD role you develop high-resolution tomographic methods to study vibrations in rod bundles. You will build a single-rod and rod-bundle setup, perform measurements with our gamma-tomography system, and apply AI-enhanced reconstruction and machine learning for noise reduction. You will work in an international, cross-institutional setting, combining experimental work with data analytics to advance decarbonization-focused engineering applications. This position offers cross-disciplinary training and exposure to both academic and industrial partners, with opportunities for secondments across Europe.
Leistungen / Benefits
- Excellent research environment
- Supervision by international experts
- Network-wide training events
- International secondments across Europe
- Competitive salary
Verantwortungsbereiche
- Construct experimental setups for single rod and rod bundle measurements
- Conduct vibrating-rod/rod-bundle measurements using a gamma-tomography system
- Apply AI-assisted reconstruction and imaging on tomography data
- Use machine learning for noise reduction and data enhancement
- Collaborate in an international research environment
- Engage in data processing and model interpretation
Zentrale Anforderungen
- 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 setting
- Good written and spoken English
- Hands-on experience with experimental setups and basic electronics is advantageous
- Independence with collaborative mindset
- Clear communication in English
- ability to work across disciplines and institutions
- Python
- C++
- data processing
Marie Skłodowska-Curie Doctoral Training Network – Coupled Problems for Decarbonization in Industry and Power Generation (COMBINE) in Zürich Arbeitgeber: ETH Zürich
ETH Zürich ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, aktiv an der Gestaltung der Zukunft des Forschungsdatenmanagements mitzuwirken. Mit einem interdisziplinären Arbeitsumfeld, attraktiven Beschäftigungsbedingungen und zahlreichen Vorteilen wie Kinderbetreuung und öffentlichen Verkehrsmitteln fördert ETH Zürich nicht nur Ihre berufliche Entwicklung, sondern auch eine inklusive und nachhaltige Unternehmenskultur. Hier haben Sie die Chance, in einer sichtbaren Position mit hoher Verantwortung zu arbeiten und einen bleibenden Einfluss auf die Forschung zu nehmen.
