4 machine-learning-phd scholarships at Silicon Austria Labs

CRYSTALLINE PhD position - AI-Enabled Fusion of Optical and Acoustic Sensors for Enhanced Non-Destructive Material Characterization (f/m/d)

processing and machine learning methods such as Compressive Sensing, Super-Resolution Imaging, and Deep Neural Networks will be crucial in enhancing data extraction and analysis. Acoustic techniques like laser

CRYSTALLINE PhD position - Efficient Algorithms and Accelerator Architectures for Distributed Edge-AI Systems (f/m/d)

. Knowledge of hardware description languages is an advantage. Experience in machine learning, including deep learning (LSTMs, CNNs, transformers, ...); specific experience in distributed computing systems (fog

CRYSTALLINE PhD Position - Trustworthy 6G Communication (f/m/d)

science, mathematics, or physics. Solid knowledge in one or more of the following areas: signal processing, communications engineering, information theory, machine learning, digital hardware implementation, probability

CRYSTALLINE PhD position - Integrated Sensing and Communication for 6G Systems (f/m/d)

, machine learning, digital hardware implementation, probability theory. Basic understanding of RF engineering and measurement setups is a plus. Excellent written and oral communication skills in English