PhD Position – Scalable AI and Advanced Computing for Earth Observation

About this position

All. Researcher profile: First Stage Researcher (R1). Area of research: PHD Thesis Job description: PhD Position – Scalable AI and Advanced Computing for Earth Observation The Jülich Supercomputing Centre (JSC) operates one of the most powerful computer systems for scientific and technical applications in Europe and makes it available to scientists at Forschungszentrum Jülich, in Germany and across Europe for research purposes via an independent peer-review process. As part of this remit, the JSC carries out research and development work in the fields of technology, HPC systems, communications, highly scalable data science, mathematics and application support. The Large Scale Data Science department develops machine learning techniques and other methods and tools for the management, analysis and modelling of large-scale data, and for the integration of data and computing resources into federated HPC infrastructures. The models, tools and methods are developed in collaboration with users in selected scientific domains, tested, scaled for the pre-zettascale era and offered as generic solutions to a large number of scientific communities. Join us now and contribute with your expertise to this interesting field. Your Job In this position, you will join our Simulation and Data Lab for AI and Machine Learning for Remote Sensing . The lab advances interdisciplinary research and operational services by combining geoscience and remote sensing methods with AI and advanced computing tec

Who can apply

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Deadlines and how to apply

Applications close on 30 Nov 2026 (18 days from today). Apply on the official page; PhD Atlas does not collect applications.

Read the official call and apply

Official call: https://recruiting.fz-juelich.de/jobposting/8081b8541f48714cd5286415858700c06cfcd8f3?ref=helmholtz

Always read the official call and the nationality rules before you apply.