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Tipo de expresión:
Doctorado: Propuesta de dirección de tesis doctoral/temática para solicitar ayuda predoctoral ("Hosting Offer o EoI")

Ámbito:
Hydrology

Área:
Vida

Modalidad:
Ayudas para contratos predoctorales para la formación de doctores (antiguas FPI)

Referencia:
2024/PID2024-157399OB-I00

Centro o Instituto:
CENTRO DE INVESTIGACIONES SOBRE DESERTIFICACION

Palabras clave:
Hydrology, Machine Learning, large sample, iberian peninsula

Documentos anexos:
721320.pdf

PIF2025 - Development of an environmental flows decision support system based on large-sample hydrology and machine learning techniques - (PID2024-157399OB-I00)

IberianCAMELS is a 3-year research project aimed at developing a decision support system (DSS) for evaluating ecological flow regime scenarios across the Iberian Peninsula. The project integrates large-sample hydrology (LSH) datasets, deep learning rainfall-runoff models, and hydrological alteration analyses, with the ultimate goal of improving the identification and management of ecological flows in highly regulated river systems of Spain and Portugal. The selected candidate will join the IberianCAMELS research team as a Predoctoral Researcher, contributing to the development of the CAMELS-IB dataset, hydrological modelling experiments, and the environmental flows DSS. The position will enable the candidate to pursue a PhD thesis aligned with the objectives of the project and within a doctoral programme in engineering, hydrology, environmental sciences or related fields.
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