Munich, Germany






Conduct advanced research on ML/AI for 6G wireless systems, focusing on neural transceivers, ML-based channel estimation and detection, or related topic. Investigate state-of-the-art model architectures—including generative models, sequence-based models, and self-supervised learning approaches applied to 6G communication systems. Provide technical support for contributions to industrial/standardization bodies (e.g., 3GPP, ETSI, …) with an emphasis on PHY/MAC ML topics. Build and improve simulation environments for ML-enabled wireless communication systems to enable realistic performance evaluation. Publish high-quality research papers in top-tier scientific journals and conferences.