Research Assistant

**Job Description**
The Research Assistant will be involved in developing digital twin technology for mechanical and structural systems, focusing on vibration-based structural health monitoring. This role bridges mechanical and structural engineering with cyber-physical system engineering, participating in the development of an algorithm platform for digital shadows and twins of machines and structures, including research and development in system identification and model updating. The position is funded by the IFD project “Cyber-physical systems for machines and structures – CP-SENS”.

**Skills & Abilities**
• Strong background in computational mechanics and dynamics
• Solid understanding of the theoretical aspects of structural mechanics and dynamics
• Solid understanding of vibration theory
• Solid understanding of numerical analysis
• Substantial experience in scientific computing and programming using Python
• Good communication and language skills (English)
• Good teamworking skills
• Interested in developing skills and competences in software engineering

**Qualifications**
Required Degree(s) in:
• Computational solid mechanics and dynamics (M.Sc.)

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