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. Research in the facility is organized around themes that include clean water, sensors and instrumentation, alternative energy, advanced materials, robotics, biomedical technology, and nanotechnology. FCAE
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learning from limited data, cross-sensor integration, and scalable reasoning over large-scale time-series data, with applications in disaster response, urban analytics, and environmental monitoring. The team
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aplicaciones con fines de ingeniería / Experience in programming engineering applications Experiencia en sistemas de percepción en vehículos / Experience in perception sensors in vehicles Experiencia en
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the intersection of biomedical engineering, artificial intelligence and rehabilitation technology. The position is framed within a project aimed at developing an objective, sensor-based platform to assess
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condition monitoring. Project background We are seeking a motivated engineer to join our team for a funded innovation project with a Swiss industrial partner. The focus is on sensor-based and model-based
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validation of a robotics monitoring demonstrator. You will work across robotics software, sensor integration, machine learning and data analysis, including the development of methods for detecting abnormal
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these data sets and machine learning, which can be combined with real-time satellite-based AIS data and sensors such as radar and algorithms for anomaly detection, risk analysis and autonomous navigation
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and communication processes. Prepare technical reports, code/API documentation and support project deliverable management and quality control. Where to apply Website https://seuelectronica.upc.edu/en
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working hours Conduct research on microwave-based diagnostic methods for applications in disaster and emergency care. Design, model, and evaluate sensors, measurement systems, and algorithms for microwave
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of Associate/Assistant Professor, who will also be a joint faculty member in the Faculty of Information Science and Computing (FIC), in the following disciplines: IoT infrastructure and devices (sensors