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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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and signal processing techniques. The candidates will work on and support different projects in SDU Robotics. The tasks and focus areas may change over time. The position requires documented education
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Position in XAI with Commonsense Knowledge for Robotics and Computer Vision 2. PhD Position in Sustainable AI for Enhancing Health Informatics (Please scroll down to read more about the project descriptions
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energy requirements. By doing all processing locally on-chip, the system eliminates the need for sending large amounts of unprocessed brain signals wirelessly that is essential for building completely
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. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates is based
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of scanning workflows and optimization of acquisition parameters. Prepare documentation, figures, and short reports summarizing experimental outcomes. Qualifications Experience with data analysis, signal/image
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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@sdu.dk. Application procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates
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-efficient accelerator architectures by designing digital and mixed-signal blocks for SSM inference in edge-AI systems. The successful candidate will explore novel SSM architectures that support sequence
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project on a real-time brain-inspired system-on-chip for seizure detection and prediction using EEG signals. We are seeking a motivated postdoctoral researcher to develop high-accuracy algorithms