Postdoc Researcher Digital Underground – Subsurface Utility Data Quality Visualisation

Updated: 3 months ago
Job Type: Permanent

In der aktuellen Covid-19 Situation laufen die Rekrutierungen weiter. Es kann dabei allerdings zu Verzögerungen kommen. Vielen Dank für Ihr Verständnis.


100%, Singapore, fixed-term

We are looking for a skilled, pragmatic, and highly motivated researcher to join the Digital Underground team in Singapore to research and develop solutions for the communication and visualisation of subsurface utility data quality.


Project background

ETH Zurich is one of the leading universities of the world with a strong focus on science and engineering. In 2011 it established the Singapore-ETH Centre (SEC) in collaboration with the National Research Foundation (NRF) of Singapore to do interdisciplinary research on pressing problems. In collaboration with the Singapore Land Authority (SLA), SEC is undertaking the research project ‘Digital Underground’ which aims to work towards a reliable digital twin of subsurface utilities in Singapore. In its 3rd phase the project focuses on workflows for reliable subsurface utility data quality.

Within this framework we are announcing a new job opening focusing on the visualisation of subsurface utility data and their quality.


Job description

Starting in January 2022 or as soon as possible, you will work in the area of Data Quality Management and Visualisation, investigating and developing research prototype solutions for the communication and visualisation of subsurface utility data quality information to data users.

You will join us in Singapore as part of the third phase of the Digital Underground project, a collaboration between Singapore Land Authority and the Singapore-ETH Centre. You will work under the direct supervision of Prof. Dr. Martin Raubal, Principal Investigator of the Digital Underground project and Professor of Geoinformation Engineering at ETH Zürich in Switzerland.

Please note that the employment will be at the Singapore-ETH Centre, the workplace is in Singapore, and local working regulations will therefore apply.

Your key responsibilities will be to:

  • Develop a model for the representation of subsurface utility data quality
  • Identify use cases for the visualisation and communication of data quality, such as data quality management and infrastructure planning
  • Investigate and develop concepts for data quality visualisation
  • Evaluate the proposed visualisation concepts with end users, e.g., including participatory design, usability testing, eye tracking

We offer you:

  • An opportunity to do impactful work on a globally relevant issue;
  • Ample opportunity to test and validate your work using real-world data, based on already well-established connections with public and private sector collaborators;
  • A clean, modern, and progressive work environment with competitive compensation commensurate to your skills and expertise;
  • A diverse and interdisciplinary cast of colleagues, with plenty of opportunities to interact and collaborate with researchers from fields such as architecture, urban planning, social science, civil engineering, geomatics engineering, and computer science.

Your profile

The ideal candidate holds a PhD degree in Geomatics, Data Science, Computer Science, Information Science, or related fields, as well as a strong research interest in data quality and visualisation. Strong analytical skills, as well as knowledge of methods in geovisualisation and usability testing, and strong programming skills (e.g., Java, Python, or C++) are required. Knowledge of GIS is a plus.

The candidate must have excellent communication skills in English (oral and writing), be team-oriented and willing to work in an international environment. 


Singapore-ETH Centre

The Singapore-ETH Centre provides a multicultural and interdisciplinary environment to researchers working on diverse themes focussed on sustainable and liveable cities, resilient urban systems, and patient-centric healthcare. The centre is home to a community of over 100 doctoral, postdoctoral and professorial researchers working in three main programmes: Future Cities Laboratory, Future Resilient Systems, and Future Health Technologies.

Working, teaching and research at Singapore-ETH Centre
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