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that reduce raw data at the sensor level. You will develop AI and machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability
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. Setting up, and testing optical spectroscopic measurement systems. Processing and analysing spectroscopic data using machine learning algorithms. Your primary workplace will be the VUB campus in Etterbeek
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further developing algorithms and writing an application to develop a wearable device functionality for monitoring patient behavior monitoring based on the gained insights. We value candidates who: have
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manner, and (2) design AI approaches such as learning algorithms and reasoning engines that can exploit the provided knowledge? The successful candidate will conduct research on how to build software
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systems and signal processing Responsibilities: Design of optical setup Optical system analysis and simulation Material characterization Developing AI/ML algorithms Literature review and preparation
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multimodal fusion, robust pose estimation, and real-time processing. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation media
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advanced algorithms that efficiently utilize UWB signal features (RSSI, channel impulse response, phase and amplitude data, Doppler maps,..) to support both high-precision localization and radar-based
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are actively engaged in the development of innovative methods and algorithms to be integrated in a digital twin architecture for (de) manufacturing systems. You contribute to organizing and performing
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, investigating novel methods for photorealistic scene reconstruction and understanding. Together, these roles form a cohesive effort to bridge algorithmic innovation with practical applications in next-generation
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machine learning algorithms for anomaly detection, pattern recognition, and efficient data compression. To ensure practical usability, these models will also be optimized to run efficiently on edge hardware