GW4+ DLTP PhD Project: From Triggering to Impact: Predicting Landslide Runout and Footprint University of Bath in United Kingdom

PhD opportunity with Imago (SDR UK Imagery Data Service) for a project on flood mapping , earth observation , satellite imagery , and real-time flood prediction . The project aims to develop a national-scale flood mapping system that integrates satellite-derived embeddings with hydrodynamic simulations to support prediction of flooding anywhere in the UK. The successful candidate will be based at Newcastle University and co-supervised by Maria Valasia Peppa from the Imago team. This is a PhD ope...

PhD opportunity at the University of Leeds in Climate Resilience of Infrastructure to Rainfall (PGR-P-1395), supervised by Professor David Connolly in the School of Civil Engineering . This project focuses on how climate change-driven rainfall affects transport, geotechnical, and structural infrastructure. Research themes include rainfall-induced slope collapse, geotechnical instability, soil shrink-swell cycles, water ponding on roofs and bridge decks, structural overloading, drainage, and adap...

Full-time MSc opportunity in the Department of Geoscience at Universiti Teknologi PETRONAS, Malaysia, starting January 2027. The research focus is Geomechanics , Rock Mechanics , and Geohazard , making this a strong fit for students with interests in Earth Science and Geology. Eligibility highlights: a bachelor's degree in a related field such as Geosciences, Geology, or Applied Geology; minimum CGPA 3.25/4.00 or equivalent; ability to commit to full-time MSc study; and willingness to undertake ...

Imperial College London is advertising a PhD project on coastal cliff instability due to extreme weather conditions , based in the Department of Civil & Environmental Engineering in London, United Kingdom. The project investigates how climate change , extreme drying , and heatwaves may trigger coastal cliff failure, with a focus on the hydromechanical response of unsaturated coastal geomaterials (especially the Mercia Mudstone Group). The research combines advanced laboratory element testing wit...

Fully funded PhD opportunity in Urban Flood Modeling and Scientific Machine Learning at Stony Brook University (Department of Civil Engineering, New York, USA). The position is in the research group of Te Pei , Assistant Professor in Civil Engineering. The project focuses on computational urban flood modeling with opportunities to combine hydrologic and hydrodynamic modeling , geospatial data , and scientific machine learning for water-related systems. Research topics include urban flooding and ...