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Mobility (IAM), considering ecological, economic, technological, and sociological factors. The RTG's structured PhD program aims to train young researchers in highly automated, networked mobility, featuring
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dynamic, optically unpredictable environments, dominated by waves, specular reflection, cloud-dependent illumination, and variable scattering. These factors significantly degrade sensor reliability, leading
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of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no ), a center for
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) at Norwegian University of Life Sciences (NMBU) has a vacant 3-year PhD–position related to developing deep learning models for 3D forest point clouds. The position is part of "SmartForest" (www.smartforest.no
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component (Master’s level or equivalent), A solid background in signal processing and machine learning Knowledge of embedded systems, cloud and edge computing is an advantage Excellent programming skills
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derive the full benefit from the network training As secondments and events are foreseen, applicants must be ready to travel Applicants must be eligible to enroll on a PhD program at the University
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15th February 2026 Languages English English English PhD Research Fellow in Data Integrity for Digital Health & Medical Wearables (DC9) at the University of Ulm, Germany (ENDOTRAIN) PhD-position
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to improve on-farm planning. The project is strongly industry-linked, with a clear pathway to applied outcomes. This project is offered through the prestigious CSIRO Industry PhD Program supported by an expert
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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This PhD project focuses on advancing computer vision and edge-AI technology for real-time marine monitoring. In collaboration with CEFAS (the Centre for Environment, Fisheries, and Aquaculture