Two PhD positions at AidroLab, TU Delft’s lab for AI research in sustainable water management and urban flooding
AidroLab @TU Delft
AidroLab is Delft Artificial Intelligence Lab (DAI-Lab) for urban water systems. As cities face growing pressure from climate change and increasing demographics, AidroLab’s mission is to develop AI solutions for sustainable water management and effective flood control. AidroLab will carry out cutting-edge fundamental and applied research in Geometric Deep Learning (GDL), exploiting digitization to tackle water problems in the urban environment. Contrary to conventional AI techniques, GDL can effectively take the complex interrelationships of water networks and urban systems into account, allowing the development of ground-breaking data-driven solutions.
AidroLab will employ 4 PhD students: two at the Faculty of Civil Engineering and Geosciences (CEG) and two at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS). While CEG students will focus on the application of AI to solve real problems related to urban water systems, EEMCS students will carry out fundamental research in GDL to provide better modeling tools. AidroLab research will be based on a strong collaboration among all the employed PhDs and research groups involved.
Hydrological Sciences (HS)
Natural Hazards (NH)
I am happy to share with you two PhD positions at AidroLab, our Lab for Artificial Intelligence research in sustainable water management (TU Delft, Netherlands).
AidroLab will carry out fundamental and applied research in Geometric Deep Learning (GDL) to tackle water problems in the urban environment by exploiting digitisation. Contrary to conventional AI techniques, GDL can effectively take the complex interrelationships of water networks and urban systems into account, allowing the development of ground-breaking data-driven solutions. The methods and tools developed by AidroLab will enhance the adaptability and resilience of urban water systems, boost sustainable water management and effective flood control, and help decision-makers and first responders to address known criticalities and uncertain future conditions.
These are the two openings:
- Graph Neural Networks for Modeling and Design of Adaptable Urban Water Infrastructure
- Geometric Deep Learning for Real-time Urban Flooding Risk Management
Please apply if you want to pursue a PhD centered on developing cutting-edge AI techniques for solving water issues.
Riccardo Taormina, PhD
Co-director at AidroLab – AI for sustainable water management
Assistant Professor in Urban Water Infrastructure
Delft University of Technology (TU Delft)
Please follow the procedure described in the links for the two PhD positions.