Join a research project focused on developing machine learning frameworks that combine physics-based modeling with neural networks to analyze complex engineering systems. You will work at the intersection of mechanics, artificial intelligence, and computational science, contributing to real-world applications like structural dynamics. The project is funded by an ETH Zurich Career Seed Award and offers a flexible, collaborative environment.

Start: As soon as possible (applications reviewed on a rolling basis)
Duration: 6 months (extendable)

• Apply computational and machine learning methods to model engineering systems
• Run simulations and validate models using benchmark and experimental data
• Improve and extend methodologies based on numerical and experimental findings
• Contribute to research software development and documentation

• Enrolled as a Master's student at ETH Zurich in Civil Engineering, Mechanical Engineering, Computer Science, Applied Mathematics, or a related field
• Good programming skills in Python or MATLAB
• Interest in machine learning and structural mechanics
• Motivated to work on interdisciplinary research problems
• Independent and structured working style

• Opportunity to work on cutting-edge research at ETH Zurich
• Collaborative and supportive research environment
• Flexible working hours to fit your academic schedule
• Standard ETH student research assistant salary