Sort by
Refine Your Search
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of RF Sensing and Anomaly Detection as per 1st Aug. 2026, or as soon as
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a postdoc in the field of Edge AI Implementation for RF Sensing and Anomaly Detection as per
-
The Department of Electronic Systems at The Technical Faculty of IT and Design invites applications for a position as research assistant or postdoc in the field of Signal Processing for Detection
-
, including when objects move between owners, places, or generations. Urban environments are rich with local caring practices of repair, reuse, hand-me downs, and micro circulation of objects in many scales
-
Solution project "ASMADI - AI based Spectrum Monitoring for Anomaly Detection and Identification" to explore AI-driven solutions for onboard spectrum monitoring, capable of autonomously detecting
-
to the assessment and development of innovative business models and market mechanisms, including local energy markets and green certificate schemes. Supporting the overall objective of minimizing CO2 emissions while
-
join the Grand Solution project 'DRONES: Drone-Obtained Electromagnetic Signatures' to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization
-
. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
-
particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
-
entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models