Scientific Assistant / Postdoc "Mapping Ukraine" on urban LiDAR scanning and machine learning

Updated: about 2 months ago
Job Type: Permanent

50%-100%, Zurich, fixed-term

To strengthen the team in the soon-to-be-launched project "Mapping Ukraine", the Chair of Circular Engineering for Architecture at the Institute of Construction & Infrastructure Management , headed by Prof. Catherine De Wolf, is looking to hire a scientific assistant.

Project background

"Mapping Ukraine" is a cooperation project with the chairs of Geoinformation Engineering (Prof. M. Raubal), Circular Engineering for Architecture (Prof. C. De Wolf) and Geosensors and Engineering Geodesy (Prof. A. Wieser) at the Department of Civil, Environmental and Geomatic Engineering. It aims to create an independent platform for open and intuitive access to verified, comprehensive, geo-referenced information on the impact of war, terrorism or natural disasters on buildings, civil infrastructure and agricultural land. Images, 3D models, already publicly available data and voluntarily provided geographic information (VGI) of selected test sites, including one in Ukraine, will be automatically collected, verified, tagged, integrated and made available as Spatio-temporal evidence for use by professionals such as researchers, engineers and journalists, as well as by the public.

Job description
  • Collaboration in the research project "Mapping Ukraine" as a specialist in LiDAR scanning, computer vision and machine learning in an interdisciplinary and international team
  • Development of tools for building damage and material volume estimation at the urban scale.
  • Federation of city-scale LiDAR scans and image acquisition across multiple time frames
  • Synthesis of existing street view datasets with live images from social media and other sources
  • Detection and analysis of building and infrastructure damage in ongoing urban datasets using machine learning algorithms
  • Extraction of volumetric information on building damage to inform reconstruction planning
  • Support of the professorship in research and teaching in the fields of engineering geodesy/surveying /terrestrial laser scanning, if a degree of employment >50% is desired.

Your profile
  • You have a Master's degree or PhD in computer science, building technology or in a related discipline.
  • Experience in application, research or development in the field of machine learning, LiDAR scanning, or GIS is recommended.
  • You have good programming experience in Python and working with large data sets.
  • You have experience with modern machine-learning frameworks.
  • You are fluent in spoken and written English. Knowledge of German is an advantage. 
  • Experience with geodetic practice, as well as implementation of web applications and machine learning, is an advantage.

Your workplace

Your workplace

We offer

We offer employment for an initial period of 1 year in an international, interdisciplinary, highly motivated and collaborative working environment. The level of employment can be adapted to your needs. Subsequently, an extension to a maximum of 6 years is possible, with or without taking up doctoral studies, depending on your qualifications.

You will have access to the excellent infrastructure of ETH Zurich, the many contacts of the chair to other research institutions, the industry and authorities as well as to the extensive and modern equipment of the IGP. You will appreciate the opportunity to gain experience through exchanges with the De Wolf, Raubal and Wieser chairs, the opportunity to work on other projects on a selective basis, the high quality of life in the Zurich area, as well as ETH Zurich's offer of continuing education and development opportunities.

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Curious? So are we.

We look forward to receiving your online application with the following documents by November 30th 2022:

  • CV and list of publications
  • A selected publication, or a short description (max. 1 A4 page) of a result of your previous work that you are proud of
  • Names and contact details of two references
  • Copy of MSc and PhD diploma

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 department, institute and research group, please visit our websites D-BAUG and CEA . Applications via email will not be read and will not be accepted. Only applications through the online portal will be considered.

About ETH Zürich

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.

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