Construction
Position
PhD-student
Irène Curie Fellowship
No
Department(s)
Built Environment
FTE
1,0
Date off
18/09/2024
Reference number
V38.7715
Job descriptionAre you passionate about Artificial Intelligence (AI) and construction robotics and committed to improving the performance of the built environment? If you are motivated to discover how Digital Twins (DTs), AI and multi-agent human-robotic systems can work collaboratively on site to transform the construction industry and achieve 50% reduction in material use, then this position is for you.
Context
Currently, the EU is not on track to achieve climate neutrality by 2050 or reduce net greenhouse gas emissions by at least 55% by 2030, as targeted by the EU Green Deal and EU Fit for 55, respectively. The sector accounts for almost 40% of CO2 emissions and overall energy consumption in industrialized and developing countries. Furthermore, it is also responsible for 50% of raw material consumption and 35% of all waste. In this context, concrete is the most used building material globally due to its low production costs, strength, and availability of raw materials, but its use of cement makes it a significant contributor to climate change. An estimated 8% of global CO2 emissions are caused by cement production. Therefore, strategies are urgently needed to reduce cement consumption, limit excessive material use and minimize waste in line with the European Green Deal and the New European Bauhaus. In this regard, 3D concrete printing, DTs, AI and construction robotics hold significant potential.
Relying on a system-of-systems approach, the AM2PM project aims to design, test, and implement an AI-enabled DT infrastructure for predictive manufacturing and robotic construction capable of simultaneously optimizing the building design geometry, material definition, and manufacturing process at all stages of a construction lifespan, thereby transforming the construction site into a robotized Cyber Physical System (CPS).
Research Activities
TU/e will contribute with research and configuration of the CPS orchestration mechanism, which operationalizes the interaction between multiple physical and digital 3D printing systems and construction robots. This implies creating a dynamic real-time connection through which the DT can affect the 3D printing and physical processes on site, and the physical processes can inform the DT and the performed computations, leading to a real-time feedback loop and control of the 3D printing process and the robotic physical site. The resulting CPS understands the predictive manufacturing and construction site processes and uses them to coordinate the robotic activities. Further investigations include enabling data processing at the edge and allowing construction robots and 3D printing devices to process data (semi-) autonomously, relying on communication with the DT infrastructure as a data warehouse, simulation, and actuation platform.
Based on the above, the main research activities include:
You will become part of the Information Systems in the Built Environment (ISBE) group at the Department of the Built Environment. You will join a recognized team under the supervision of Dr. Ekaterina Petrova and Dr. Pieter Pauwels from the ISBE group and Dr. Rob Wolfs from the 3D Concrete Printing (3DCP) group. Not only will you be part of a challenging and innovative project, but you will also be able to learn, apply and improve diverse data handling and software development techniques in support of DTs, CPS, AI-driven additive manufacturing and robotic construction.
Furthermore, you will collaborate closely with researchers from the Technical University of Munich, Technion, Technical University of Denmark and WASP.
Job requirementsA meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
About us
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands- on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Information
Do you recognize yourself in this profile and would you like to know more? Please contact Dr. Ekaterina Petrova, Assistant Professor of Artificial Intelligence in Construction, at [email protected].
Visit our website for more information about the application process or the conditions of employment. You can also contact Kevin Caris, HR-Advisor, [email protected].
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
Application
We invite you to submit a complete application by using the apply button. The application should include a:
Selected candidates will be invited for an online interview. More details will follow in an email with the invitation to the interview. We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.
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