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investigate new algorithmic principles that make learning agents adapt to non-stationary environments in an autonomous manner. The expected outcomes are new theoretical insights about the algorithmic roots
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for one or more 3-year PhD positions. The positions are open from January 1, 2026, and the specific start date will be agreed with the successful candidates. Application Due Date: November 23, 2025, at 11
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background in CMOS/VLSI design, computer architectures (preferred RISC-V architecture), and deep learning principles. Experience with industry-standard EDA tools such as Cadence suite: Genus, Virtuoso, Spectre
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research team. The PhD candidate will be responsible to: Define data modeling requirements for the datasets in the project and apply FAIR principles. Review existing data sources, set quality standards, and
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decisions within SMEs, while also developing agentic AI for modular micro-services. The call is open for applications between October 1 and October 30, 2025, and the specific start date will be agreed upon