Welcome to the Schütze Lab

We are a dynamic research group at the Center for Information and Language Processing located at Ludwig Maximilian University Munich. Our primary focus is linguistically-informed Neural NLP: We use our deep understanding of language in our research and believe in the principle that learning is key to successful NLP – the same way that the language capabilities of humans are based on learning.

Our research areas are representation learning, multilinguality, machine learning for low-resource scenarios, cognitively motivated deep learning, linguistically informed deep learning (especially for morphology), digital humanities, and the intersection of NLP and robotics.

You can find resources (data, code, repositories) released by CIS lab members on our GitHub page and HuggingFace page.

We are looking for passionate new PhD students, Postdocs, interns, IDP (TUM) and MSc/BSc thesis students to join the team (more info) !

We are grateful for funding from the Munich Centre for Machine Learning (MCML), Elitenetzwerk Bayern (International Doctorate Program), Deutsche Forschungsgemeinschaft (DFG) and from the European Research Council ERC advanced grant.