PhD Position in AI with HPC – Advancing Earth Observation through Foundation Models - Jülich, Deutschland - Forschungszentrum Jülich GmbH
Beschreibung
Conducting research for a changing society: This is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal challenges of our time and conduct research into the possibilities of a digitized society, a climate-friendly energy system, and a resource-efficient economy. Work together with around 7,400 employees in one of Europe's biggest research centers and help us to shape change
Do you have a master's degree in science, technology, engineering, or math? Have you applied AI techniques, preferably using self-supervised learning? Then it is time to broaden your views Our Simulation Data Lab "AI and Machine Learning for Remote Sensing" is seeking to hire PhD students interested in tailoring self-supervised learning for applications in Earth observation. We identify challenging datasets, formulate novel research questions, train large-scale models, and strive to expand the limits of what is achievable with AI and supercomputing. For our work, we have access to large HPC systems and are interested in exploring how large amounts of unlabeled data, combined with extensive computational resources, can be leveraged for exciting real-world use cases involving satellite data and other modalities.
We are offering a
PhD Position in AI with HPC – Advancing Earth Observation through Foundation Models
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