Jobs:Job-01982
Apply before: 14 January 2026
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Posting:
Position: PhD Postion
Apply before: 14 January 2026
Apply online:
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Project: HydroFM — A Physics-Aware Foundation Model for Hydrology
The student will develop a modular AI model (UNet + LSTM/TCN + graph routing) with water-balance constraints and calibrated uncertainty, pretrained on global EO/reanalysis/gauge data and adapted efficiently to new basins. Outputs include decision-ready metrics (low-flow reliability, environmental-flow deficits, peak-flow exceedance) and a future-scenarios pipeline.
Training & support: front-loaded QUARTILES training; weekly supervision; hydrology–AI reading group; HPC/GPU access; curated data loaders; and a partner placement.
Essential skills: Python (NumPy/pandas/xarray; PyTorch or similar), time-series and/or geospatial data, ML fundamentals, strong scientific communication, motivation to work across AI + hydrology.
Deadline: Wednesday, 14 January 2026
Apply and enquiries: https://www.findaphd.com/phds/project/quartiles-dla-rivers-rewired-a-physics-aware-foundation-model-for-global-rainfall-runoff/?p191499
