9 software-engineering-requirements-engineering-"UCL"-"UCL" PhD positions at IMDEA Networks Institute
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24 Apr 2026 Job Information Organisation/Company IMDEA Networks Institute Department Pervasive Wireless Systems Group Research Field Computer science » Other Engineering » Electrical engineering
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engineeringEducation LevelBachelor Degree or equivalent Specific Requirements The position requires: an MSc degree in Computer Science, Telecommunication Engineering, Electrical Engineering or related fields, with a
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or equivalent Skills/Qualifications The position requires: an MSc degree in Computer Science, Telecommunication Engineering, Electrical Engineering or related fields, with a solid academic record excellent
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PhD position in Adaptive Protocols for Decentralized Wireless Networks - Secure Mobile Systems Group
19 Mar 2026 Job Information Organisation/Company IMDEA Networks Institute Department Secure Mobile Systems Group Research Field Computer science » Other Engineering » Electrical engineering
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PhD Student position in LiFi Systems for Unmanned Aerial Vehicles - Pervasive Wireless Systems Group
LevelMaster Degree or equivalent Skills/Qualifications The position requires: Degree / Master in Telecommunications Engineering, Electrical Engineering, or equivalent. Excellent understanding
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or equivalent Research FieldComputer science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications The position requires: Master’s degree in Telecommunications Engineering, Computer
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mobile and satellite systems. Employed methods include reverse engineering to understand black-box behavior, as well as the design, implementation, and experimental evaluation of solutions to increase
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traffic data processor capable of performing tasks like flow classification, anomaly identification or intrusion detection at Gbps without the need for external hardware or time-consuming cross-plane
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of on-going collaborations with leading MNOs such as Orange and Telefónica and take advantage of privileged access to Terabytes of measurements from real-world networks to (i) understand the very specific