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Multi-Sensor Data Fusion and Smart Decision Making School of Electrical and Electronic Engineering PhD Research Project Self Funded Prof Lyudmila Mihaylova Application Deadline: Applications
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Lyudmila Mihaylova Application Deadline: Applications accepted all year round Details This PhD research is focused on multi-sensor data fusion for decision making. The project aims at dealing with large
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, seeks a postdoctoral candidate in wireless sensor networks and the Internet of Things. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and
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-lab’s daily activities and research network of European graduate trainees, interns and visiting researchers, as applicable; advance multi-sensor EO threat detection and real-time intelligence fusion using
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, etc. *Knowledge of Bayesian inference and sensor fusion. *Demonstrated ability to write peer-reviewed scientific manuscripts. *Knowledge in Dockerisation, Kubernetes, Django and Geoserver. *Some
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removed, and valuable post-process water streams are frequently discharged due to insufficient monitoring. This project will investigate the fusion of data streams from ultraviolet (UV) fluorescence imaging
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. These competitive grants fund a full predoctoral contract and support the training of future university researchers and lecturers: https://www.ciencia.gob.es/Convocatorias/2026/FPU2025.html 🔍 Available Research
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beyond ITER with advances in HTS materials, manufacturing, sensors and machine learning. High current density cables are required for the design of compact HTS magnets in a fusion pilot plant (FPP
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those specific to the role, such as CAD software (Fusion 360) and electrical applications. Experienced with Siemens TIA Portal (PLC), NI software like LabVIEW and FlexLogger (data acquisition), and KiCad
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management systems. Integrate remote sensing (satellite, airborne, UAV), hyperspectral/multispectral data, and proximal sensors into modeling workflows for crop status assessment, stress detection, and yield