PhD in AI-Enhanced Tomography for Rod Vibration

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

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