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between academia and industry by addressing research on daily life issues, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of
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exploring binarized neural networks as potential candidates for privacy-preserving methods in sensitive speech classification tasks. The candidate will begin by reviewing the current state-of-the-art
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speech processing and speech classification; Research experience with deep neural networks and complex networks; Hands-on experience with Automatic Speech Recognition systems; Hands-on experience with
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, such as healthcare, space, mobility, human language technologies, agri-food, industry 4.0, and smart grids. This high level of knowledge transfer is achieved through both competitive research projects and
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development of deep neural network architectures and algorithms for the implementation of dual process computation approaches that improve the ability of existing vision and language models to reason using