4 machine learning PhD positions at Forschungszentrum Jülich

PhD-position - Data Mining, Inference, Prediction and Simulation in Semiconductor material

Infrastructure? No Offer Description Work group: IAS-9 - Materials Data Science and Informatics Area of research: Promotion Job description: Your Job: You will strengthen the data science and machine learning

PhD position – Digital Integration and AI for Sustainable Hydrogen Technologies

data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

non-von Neumann computing hardware blocks for AI, optimization, probabilistic computing, and scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed

PhD Position – Co-Design of Neuromorphic Algorithms and Circuits

scientific computing. Machine learning, deep learning and algorithm development, co-designing with mixed analog-digital circuit blocks Associative computing from both a circuits and algorithms perspective