Student assistant position (HiWi) for the Intelligent Assessment of existing infrastructure in Zürich

Recent unexpected bridge collapses brought into light the fact that a large part of existing infrastructure and buildings have exceeded their design life span. While massive retrofitting and replacing our ageing infrastructure come at an unbearable monetary and environmental cost, maintenance today rely on visual inspections. However, evaluating only the visible and accessible parts of the structures is proven to be insufficient to provide reliable assessments.

To tackle these challenges, we assimilate data, obtained from appropriately deployed sensors, into the modelling, condition assessment, diagnostics and virtualization of engineered systems. We adopt Structural Health Monitoring methods & tools for evaluating structural integrity, durability and reliability throughout the structural life cycle, as well as for supporting decisions for optimal maintenance planning and safe operation. We are convinced that a proper combination of hardware resources and computational tools can ultimately lead to an intelligent, data-driven infrastructure management system, where diagnosis & prognosis of condition no longer depends merely on sporadic visual inspections.

• Development of the back-end for the efficient transfer of time series data from the acquisition site to our cloud server.
• Integration of available processing routines (Matlab/Python) for the conversion of vibrational data to damage related metrics.
• Development of the front-end for the visualization of the computed damage metrics.

• You are a Master's student in Computer Science or in a relevant domain.
• You hold experience in software development, ideally with time-series data applications and cloud services.
• You are interested in Machine Learning applications and you are excited to work on an innovative, practical and high-impact project.
• You are motivated to work with a fast-developing team and you are interested in entrepreneurship.
• You are responsible and able to work independently on your tasks.

We offer a student assistant position (HiWi) at ETH Hönggerberg in a high-impact practical project. The maximum occupation during the semester is 15 hours/week, which could be extended during semester holidays. We support partial home office and provide exciting opportunities for follow-up collaboration with a rapidly developing start-up in the field of AI for predictive maintenance in structures. We offer a student assistant position (HiWi) at ETH Hönggerberg in a high-impact practical project.

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