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, spectroscopic signatures, microstructural images, processing conditions, and macroscale performance will be used for the optimization of materials. The candidate will collaborate extensively with in
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such as satellites, LEO constellations, fixed links, automotive radar, and Earth observation stations, using techniques from signal processing, communications theory, optimization, and AI. You will join the
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for the rapid conversion of biomass into hard carbons, significantly reducing the time and energy required compared to traditional processes. Additionally, the collaborative research aims to identify optimal
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We are looking for a PhD student in Mineral Processing. As a PhD student, you will be part of an established international research group to work on a new research project, the optimization
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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, generative diffusion models, flow models, optimal transport, stochastic filtering, sequential Monte Carlo, Markov chain Monte Carlo, and Bayesian inference and inverse problems is strongly advantageous. Your
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formation and how local dose is distributed. In the longer perspective, this knowledge will support optimization and translation of bioelectronic implants towards clinical application. In this project, you
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inference and deployment costs (e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects
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Engineering (ISY), Linköping University. The Division for Communication Systems carries out research, undergraduate and postgraduate education in communications engineering, statistical signal processing
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. Thus, this project will advance our empirical understanding and thereby create an urgently needed decision support for developing optimized strategies for boreal peatland forest management. The main