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at the University of Oslo. The position is placed in the Digital Signal Processing and Image Analysis group (DSB), Section for Machine Learning, Department of Informatics at the University of Oslo. The
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two companies. The project has partners from eight different EU countries. All 15 Ph.D. projects are within the overall theme of neuromorphic computing and analog signal processing, targeting
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Applicable: Daniel Yamins Stanford Departments and Centers: Psychiatry Group or Departmental Website: https://stai.stanford.edu (link is external) https://neuroailab.stanford.edu/ (link is external) https
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, focuses on the definition and implementation of a Plant Digital Twin dedicated to monitoring and diagnosing plant health. The candidate will develop data-driven models and machine learning
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experimental measurements, including calibration. Experience implementing digital signal processing (DSP) solutions. Track record of working effectively within a research or engineering team. Strong publication
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, encoding concepts, or digital signal processing principles. Demonstrated ability to troubleshoot technical systems methodically and effectively. Band A Duties and Responsibilities (* denotes essential
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leader in the digital world. We are seeking an Assistant/Associate Professor to join the Signal, Statistics, and Machine Learning [ S2A ] team in the Image, Data, and Signal (IDS) department. You
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. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing. Integration of Large Language
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/ML, signal processing, or edge computing. Hands-on experience with wearable or multimodal data (e.g., heart rate, EEG, activity, sleep, GPS). Solid mathematical and computational modeling skills
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and multisensory XR at the intersection of acoustics, signal processing, XR, and human perception. You will develop and evaluate physics-based and data-driven audio rendering methods within the