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

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

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.

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.

• 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.

ETH Zurich is one of the world’s leading universities specialising in
science and technology. We are renowned for our excellent education,
cutting-edge fundamental research and direct transfer of new knowledge
into society. Over 30,000 people from more than 120 countries find our
university to be a place that promotes independent thinking and an
environment that inspires excellence. Located in the heart of Europe,
yet forging connections all over the world, we work together to
develop solutions for the global challenges of today and tomorrow.

We look forward to receiving your online application with the following documents:

• CV
• Motivation Letter (max. 300 words)

Please note that we exclusively accept applications submitted through our online application portal. Applications via email or postal services will not be considered.

For further information about the group please visit our website . Questions regarding the position should be directed to Mr Panagiotis Martakis by email [email protected]  (no applications).