ML Hydrology Fellow: Hybrid Physics-Informed Modelling

Company: University of Southampton
Apply for the ML Hydrology Fellow: Hybrid Physics-Informed Modelling
Location: Southampton
Job Description:

A leading UK university is seeking a highly motivated Research Fellow to join their Hydroclimatology Group. This role focuses on developing innovative machine learning frameworks to understand and predict the global hydrological cycle, working on high-impact projects related to water resource management. The ideal candidate will have a PhD in a quantitative field and expertise in advanced machine learning, programming, and high-performance computing. This full-time position is fixed-term until June 2028.#J-18808-Ljbffr…

Posted: June 1st, 2026