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non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed
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scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed analog-digital circuit blocks Associative computing from both a circuits and algorithms perspective
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Postdoc – Synthesis and up-scaling of high-performance active materials for Na solid-state batteries
Your Job: Future battery technologies are urgently needed to make electromobility and home storage even cheaper, safer and more powerful. Solid-state batteries based on oxide-ceramic Na-ion
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training on the High Performance Computers, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national
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annealing experiments as well as microscopic analysis using advanced electron microscopy techniques Qualification of coating systems for application in extreme environments Establishing the thermodynamic
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be: Experience with high-level programming languages, e.g. Python A good command of written and spoken English; knowledge of German is desirable or the willingness to learn/improve it The ability
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, including JUPITER, Europe`s first exascale computer Prepare, process and publish datasets and benchmarks for self-supervised learning in science Engage in national and international ML/DL communities, most
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are unlimited. The aim of this project is to find superior cathode materials for Na-ion batteries. The goal is to improve capacity and stability as well as ionic and electronic conductivity of cathodes. Ab initio
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languages, e.g. Python A good command of written and spoken English; knowledge of German is desirable or the willingness to learn/improve it The ability to work independently, along with a highly motivated
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of this project is to find superior cathode materials for Na-ion batteries. The goal is to improve capacity and stability as well as ionic and electronic conductivity of cathodes. Ab initio-based approaches