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for the green transition of the energy sector. Our research develops innovative digital tools and methods, combining cutting-edge AI, simulation, and optimization, to create smarter, more resilient, and
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industrial partners. We solve challenging research problems from real applications and implement novel software and solutions together with end users. We are looking for candidates for two PhD projects: 1. PhD
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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research themes include: Design of low-noise, low-power analog front-end for EEG electrodes Spike/event encoding of neural signals for neuromorphic processors CMOS interface design for glove-embedded sensors