19 software-testing-"https:"-"IFM" Postdoctoral positions at Aalborg University in Denmark
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research at the intersection of software-defined radio, edge AI, and real-time spectrum sensing, with a core focus on implementing and deploying AI-driven RF sensing and anomaly detection systems on resource
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with natural language. The successful candidate will develop and test novel user interfaces that integrate state-of-the-art Large Language Models (LLMs) with novel logic-based multi-robot planning
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involves: Hardware integration – assembling measurement systems from individual components (e.g., signal generators, spectrum analyzers, antennas, mixers, SDRs, FPGAs, ADCs/DACs) Test system validation
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and Distributed Systems: https://www.cs.aau.dk/research/distributed-embedded-intelligent-systems/ The Department of Computer Science features a broad range of synergistic activities within research and
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of life and satisfaction of its residents. https://www.enjoynordjylland.com/ Your work tasks The position is offered in relation to the EU-funded research program "STRONG UR, Strategies for optimized
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-the-air antenna testing for single-antenna handsets, which later became an international standard, and has also strongly influenced later testing of multi-antenna devices in 4G and 5G radios. The group is
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learning, for offshore industrial produced water treatment processes. The developed methods/solutions should be tested and demonstrated on a globally leading pilot-plant sited at Aalborg University
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with Danish and international industrial partners. More information about the AI RF Sensors group is available at: https://www.es.aau.dk/research/ai-rf-sensors Qualification requirements Appointment as
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Municipalities, which is funded by the Velux Foundation. Read Velux’s presentation of the project at: https://veluxfonden.dk/en/projekt/migrant-solidarity-network-local-dynamics-civil-society-and-municipalities
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Andres Masegosa (arma@cs.aau.dk), Department of Computer Science. (please see: https://andresmasegosa.github.io/ . The project’s domain PI is Professor Jamal Jokar Arsanjani (jja@plan.aau.dk), Department