12 computational-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" PhD positions at Forschungszentrum Jülich
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
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companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in
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Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research
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The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop
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an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How do we build and
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Wide-bandgap metal-halide perovskites are key absorbers for next-generation multijunction photovoltaics. Their practical use, however, is still limited by compositional instability, phase segregation, interface-related energy losses, and insufficient process reproducibility. Addressing these...
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Strong confinement in highly disordered and intricate environments is essential for understanding the behavior of a broad class of systems with intrinsic motility. Porous materials -- such as cell cytoplasm, mucus, tissues, gels or soil -- serve as a natural propagation media of most...
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The field of active matter is represented by systems made up of individual units that consume energy to generate motion or mechanical forces, causing the system to organize and behave collectively. The energy is continuously injected at the level of the individual particles or agents, keeping...
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The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data. However, limited availability, privacy constraints, and the...
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The PhD project is methodologically independent and embedded in a multidisciplinary research environment at the interface of artificial intelligence, scientific imaging, and materials research. You will strengthen the data science and machine learning activities of IAS-9 by developing core AI...