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Doctoral Researcher in statistical signal processing. The Structured and Stochastic Modeling Group, headed by Prof. Filip Elvander, conducts research in statistical signal processing, ranging from
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integrated circuit design. Possible focus areas can include, but are not limited to, machine learning (ML), Artificial Intelligence (AI), neuromorphic computing, and digital signal processing hardware
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computer engineering with areas such as signal processing, machine learning, communications engineering, and networking technologies. Ready to apply? Please submit your application at the latest on November
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University. For more information on the general requirements and the application process for doctoral studies, please visit https://www.aalto.fi/en/doctoral-education/how-to-apply-for-doctoral-studies What we
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regions to capture high-resolution spatial–temporal environmental data (sedimentation, meltwater flows, vegetation changes, landslides). Process and analyse geospatial datasets, including 4D point clouds
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modeling (e.g., Rhino/Grasshopper, Phyton, Unity, Blender). Point cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience
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with mechanical motion. In our more applied research, we lay the foundation for a new generation of devices that use various types of microwave-optomechanical effects for efficient signal processing. We