A leading research organization in Switzerland is seeking an individual to contribute to the pQuant open-source library by developing techniques for compressing deep learning models. This role involves researching tensor-network methods, collaborating with an interdisciplinary team, and sharing outcomes through publications. Candidates should have a Master's or PhD and expertise in deep learning, with experience in model compression highly desired. Competitive salaries and benefits are offered. #J-18808-Ljbffr