Hydrological ML Fellow: Hybrid Physics‑Informed Modelling

A prestigious UK university seeks a highly motivated Research Fellow to join the Hydroclimatology Group. The role focuses on developing innovative Machine Learning frameworks to understand the global hydrological cycle. Responsibilities include methodological innovation, big data integration, and collaborative research with international stakeholders. Candidates should hold a PhD or be close to completion in a relevant field, with technical expertise in advanced ML and deep learning architectures.

This is a full-time fixed-term position until June 2028, with a supportive environment committed to equality and inclusion.
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