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, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and synthesis tools (ASIC, FPGA). Good programming and scripting skills. Excellent English communication
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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doctoral degree at the date of recruitment. Master degree or equivalent in Electrical Engineering, Computer Science, or related field with excellent grades. Sound knowledge of computer hardware design and
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this initiative, 15 early-stage doctoral candidates (DCs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping
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collaborate closely with hardware designers and industrial partners, benefiting from their complementary expertise and datasets. The position is embedded in the CAES chair of the EEMCS faculty, which offers a
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and hardware. Expect a dynamic, cross-border innovation ecosystem where your contributions directly influence the future of sustainable transport. Information and application Are you interested in
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develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase