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Field
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technologies such as IoT, big data, analytics, computer vision, cloud computing, and artificial intelligence (AI). IoT devices help in data collection. Sensors plugged in tractors and trucks as well as in fields
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project’s focus is to: Conduct cutting-edge experiments to investigate how surface texture affects seal performance and explore the use of an ultrasonic sensor for real-time monitoring. Experiment with
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harvesters will be used to power up the acoustic sensor elements while UAV is flying. This project will provide a novel self-powered, robust, weatherproof and efficient acoustic monitoring platform for UAVs
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, Quantum Science + Quantum Information Science + Quantum Optics + Theoretical Physics , Quantum Sensing , Quantum Sensors , Quantum Simulation , Quantum Technology , Quantum Transport , Quantum transport in
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(ENDOTRAIN). Join Europe’s first doctoral network in digital endocrinology – integrating AI, sensor technology, omics, and clinical medicine to transform diagnosis and treatment of adrenal diseases. Digital
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Multimodal human-centric understanding and adaptation Active sensor fusion for increased robustness and adaptivity In addition, the duties of the doctoral researchers may include some teaching tasks (5-10%) in
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-sensor fusion, and propagation modeling — to develop AI-enabled detection, classification, and triangulation algorithms for critical energy infrastructure applications. This position resides within
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
. Römer. Leveraging Cross-Technology Broadcast Communication to build Gateway-Free Smart Homes, 17th International Conference on Distributed Computing in Sensor Systems (IEEE DCOSS). 9 pages. 2021. https
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around 200 research different aspects of photonics. Research is performed within nanophotonics, photonic nanotechnology, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed
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UiA-CERN PhD Position in Multi-robot Mapping and Environmental Data Sharing - Uncertain Environments
aims to design and implement a cloud-based architecture for storing and managing maps and associated sensor data, enabling data sharing across multiple robots and missions. It will focus on compact data