PhD in Digital Twins for Flood-Resilient Infrastructure Delft University of Technology in Netherlands

A PhD opportunity is advertised at the University of Córdoba in SciML (scientific machine learning) methods for hydraulic modelling , with high-impact applications such as flood warning systems . The project sits at the intersection of civil engineering , computer science , mathematics , and environmental science , and is aimed at candidates interested in computational modelling, data-driven methods, and water-related infrastructure and risk applications. The post directs interested applicants t...

Utrecht University is advertising a 2-year postdoc in machine learning for wind flow prediction in coastal dunes within the Faculty of Geosciences , Department of Physical Geography. The project combines numerical modelling , computational fluid dynamics (CFD) , and machine learning to improve wind field predictions for coastal dune models and support better coastal dune management. The successful candidate will evaluate current wind field predictions from the coastal dune model AeoLiS against f...

Postdoctoral Researcher in Geophysical Subsurface Imaging, AI, and Digital Twins at the University of Twente (Faculty ITC) This postdoctoral opening is for a researcher interested in the intersection of geophysics , Earth science , artificial intelligence , and digital twins . The project focuses on improving subsurface imaging and monitoring under changing environmental conditions such as soil moisture, temperature, and subsurface heterogeneity. The work is embedded in the national Sectorplan E...

Graduate Student Opportunity (Ph.D. or M.S.) in the COMPOUND Flood Lab at The University of Texas at Austin , within the Maseeh Department of Civil, Architectural and Environmental Engineering. The lab is seeking one motivated graduate student to join in Fall 2027 . Research interests include compound flooding , debris–structure–wave interactions , and/or flood risk assessment , with methods spanning numerical modeling , machine learning , and remote sensing . Applicants from Civil Engineering ,...

University of Southampton is advertising a PhD project in Data-driven urban aerodynamics for net-zero cities within the Faculty of Engineering and Physical Sciences . The project combines 3D particle tracking velocimetry , machine learning , fluid mechanics , computational fluid dynamics , and data assimilation to measure and predict airflow around buildings in complex urban environments. Research themes include wind loading , pedestrian-level wind comfort , natural ventilation , pollutant dispe...