PhD Studentship in AI-Powered Uncertainty-Aware Adaptive Methods for Property Risk Assessment Loughborough University in United Kingdom

PhD in Artificial Intelligence for Geotechnical Engineering at the University of Leeds (School of Civil Engineering). This PhD project explores how artificial intelligence , machine learning , deep learning , computer vision , and advanced data analytics can improve geotechnical engineering and civil engineering . The theme connects classical soil mechanics with data-rich approaches to model complex ground conditions, predict asset behaviour, and support safer, more sustainable infrastructure. R...

PhD opportunity at the University of Leeds in AI for Structural Engineering , supervised by Professor David Connolly in the School of Civil Engineering . This project sits at the intersection of civil engineering , computer science , machine learning , computer vision , digital twins , physics-informed neural networks (PINNs) , and materials science . Research themes include generative design, structural optimization, predictive health monitoring, automated defect detection, real-time sensor int...

Boise State University’s College of Engineering, Department of Civil Engineering, is inviting applications for a Postdoctoral Research Fellow and a PhD student in the project AI and Statistical Evaluation of Wildfire Forecasts . The research sits at the intersection of artificial intelligence , machine learning , statistics , geospatial data , wildfire forecasting , and civil/environmental engineering . The post highlights work on developing and integrating wildfire datasets, building AI and sta...

New funded PhD opportunity in the HDS-LEE Graduate School (Helmholtz School for Data Science in Life, Earth and Energy) for candidates interested in machine learning , artificial intelligence , data science , environmental science , atmospheric science , and air quality modelling . The project is based at Forschungszentrum Jülich in collaboration with RWTH Aachen University . The research focuses on developing machine learning methods to improve satellite-based air quality monitoring and emissio...

PhD opportunity at the University of Leeds in Satellite Monitoring of Environmental and Climate Risks (PGR-P-2517). This project sits in Civil Engineering and focuses on remote sensing , Earth Observation , Synthetic Aperture Radar , multispectral imaging , artificial intelligence , and GIS for monitoring environmental change and climate hazards. Research themes include rapid flood and disaster impact mapping, drought and soil-moisture tracking, temperature and rainfall anomaly analysis, vegetat...