Doktorandtjänst i elektroteknik med inriktning mot signalbehandling
Core
Developing AI-based wireless spatial intelligence through multimodal environmental modeling and learning-based methods for localization, sensing, and communication.
Role type
PhD researcher (Postdoc/Doctoral candidate) in wireless communications and AI
Builds
Fundamental theories, algorithms, and system architectures for next-generation wireless systems with ISAC and digital twin capabilities
Domain
Telecommunications, Artificial Intelligence, Signal Processing, Wireless Networks
Deliverable
production ML models
Required skills
Wireless communication, Signal processing, Statistical inference, Optimization, Machine learning, Computer vision, Robotics, Python programming, PyTorch, TensorFlow
Preferred skills
5G/6G systems, ISAC, Wireless localization, Radio wave propagation, SLAM, Scene understanding, Embodied AI, Multimodal learning, Physics-informed ML, Generative AI, World models
Technologies
PyTorch, TensorFlow, Python, Wireless sensors, Visual data, Geometric data, Maps
Responsibilities
Develop multimodal representations of physical environments by integrating wireless, visual, geometric, and map-based observations; Design mechanisms for cooperative perception and semantic information exchange between wireless devices; Validate developed methods through simulation and experimental demonstrations; Teach courses within the doctoral program; Publish research results in leading international journals and conferences.
