Todas las habilidades, cualificaciones y experiencia relevantes que necesitará un candidato seleccionado se enumeran en la siguiente descripción.
Are you interested in joining a dynamic and international team of professionals to transform education? IE University's Research Office Mathematics Department is looking for an FPI Predoctoral Fellow to join its team
PhD Predoctoral Fellowship to join the KAN4Met project and develop next‑generation AI weather forecasting models based on Kolmogorov–Arnold Networks (KANs). The research will combine deep learning, atmospheric data and HPC.
We offer a fully funded FPI PhD position in the project “Kolmogorov‑Arnold Networks with applications in weather forecasting (KAN4Met)”, led by Prof. David Gómez‑Ullate. The PhD candidate will join an interdisciplinary team of mathematicians, physicists, statisticians and computer scientists working at the intersection of approximation theory, AI and atmospheric science.
The goal is to understand and improve KAN architecture and to develop an AI weather prediction model for the Iberian Peninsula, inspired by the latest advances in AI forecasting.
The candidate will have the opportunity to complete one or more 3‑month international research stays in top research institutions, gaining exposure, collaborations and a broader scientific perspective.
Why IE University?
Every story begins with a purpose, and ours has always been about people. Founded in 1973, IE University has continuously raised the bar to drive positive change through education. We believe education is more than a path to professional success; it is a catalyst for personal transformation and meaningful impact.
At IE University, we place people and their potential at the center of everything we do, empowering individuals to become extraordinary. We encourage bold thinking and foster a culture where innovation, curiosity, and courage lead to real-world impact. Together, we create an environment where talent thriv
📌 FPI Predoctoral Fellowship (Madrid)
🏢 Empresa Confidencial
📍 Madrid
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