15 developer-"https:"-"https:"-"https:"-"https:" PhD positions at Forschungszentrum Jülich
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share the goal of developing stable and reliable perovskite-based tandem photovoltaics, while maintaining complementary scientific responsibilities. FZJ focus: automated and data-driven development
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challenges associated with the iron anode, including parasitic hydrogen evolution, limited active material utilization, and long-term cycling stability. Addressing these challenges is essential for enabling
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You will work at the interface between electrochemistry, robotics and data-driven research. The aim is to utilise and further develop an automated laboratory environment for scientific purposes in
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investigate how AI methods and workflows can be designed and adapted to handle large, heterogeneous EO tasks efficiently and reliably. You will develop and evaluate approaches that address the trade-offs
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of heterogeneous operational data. However, limited availability, privacy constraints, and the variable quality of real-world datasets continue to hinder the development of reliable AI solutions for energy system
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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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-funded collaborative research project SOCool, a completely novel approach to the fabrication of metal-supported solid oxide electrolysis cells (MS-SOECs) will be developed. The proposed cell concept is
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of individual swimmers and the complexity of the associated hydrodynamic flows gives rise to a wide range of collective behaviors that remain poorly understood. Addressing this complexity requires the development
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze
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will strengthen the data science and machine learning activities of IAS-9 by developing core AI methods with applications to electron microscopy and materials discovery. You will work in a team of data