TU Berlin

Civil Systems Engineering23.112017 - Collaboration between Arcadis and the department for civil systems engineering

Page Content

to Navigation

Collaboration between Arcadis and the department for civil systems engineering

Arcadis is the leading global design & consultancy firm for natural and built assets, employing 27,000 people in over 70 countries. With the ongoing digitization of its design and engineering work, Arcadis is generating a vast amount of digital information day after day on each single of its projects. These digital data, if mined and analysed well, are an untapped asset with the potential to improve the daily work of all of Arcadis employees starting from daily project engineering and design work, all the way up to making the right strategic decisions at the executive level of the company.


To tab into this vast potential, Arcadis and the civil systems engineering department of the TU Berlin join forces. While one of the main research areas of the civil systems department's research agenda is on developing new data driven methods to support civil engineering work, it lacks the direct access to 'real world' industry data to validate and test the evolving methods. Such data for testing and validation is available at Arcadis that, in turn, lacks the internal capacity and knowledge to develop advanced data analytics methods to make streamlined used of the data.

To leverage this win-win situation, we established a strategic research, development, and education partnership with the goal to develop advanced data driven methods to improve and support Arcadis core business and engineering processes, while at the same time educate a new breed of civil engineering professionals that can drive the required future innovations.

As a starting point, in the next months, we will together evaluate a more detailed collaboration strategy for a sustained and long term research and development effort. Already now, we are looking for interested students with a background in big data, data analytics, and machine learning that would like to get started on a number of demonstration projects to explore possible potentials and to provide first lighthouse demonstration cases that clearly illustrate these potentials. If you are interested in participating in this new and exciting strategic partnership , for example, in the form of a Bachelor, Master, or other research project, please contact us (timo.hartmann@tu-berlin.de).


Quick Access

Schnellnavigation zur Seite über Nummerneingabe