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Electronic Systems (IES) at the Department for Electrical and Information Technology (EIT) is a balanced effort combining system and circuit design aspects. We design integrated circuits (chips) in advanced
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theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates expertise
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) at the Department for Electrical and Information Technology (EIT) is a balanced effort combining system and circuit design aspects. We design integrated circuits (chips) in advanced nanometer CMOS and other related
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recruiting an outstanding and ambitious postdoctoral researcher in computational biology to advance the integration and modeling of large-scale microscopy data using modern machine learning approaches
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research, innovation, and education to enable a biobased society and improve human health. We explore how biological systems, and innovative technologies can be used to convert biomass into valuable products
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: Applied mathematics; Machine Learning; Mathematical Modelling Appl Deadline: 2026/03/24 10:59 PM UnitedKingdomTime (posted 2026/03/18 04:00 AM UnitedKingdomTime, listed until 2026/04/01 04:59 AM
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established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
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experimental validation of cyclist speed over given routes. The background: When designing infrastructure, costs are crucial and can be estimated quite well. In contrast, user benefits in terms of reduced travel
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to be employed for the degradation and mineralization of per- and polyfluoroalkyl substances (PFAS) in water streams. At KTH, the focus is on the design, fabrication, and optimization of cavitation
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computational imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely