Job Title: PhD Student Researcher in Natural Language Processing Institution: Technical University of Munich (TUM) Location: Heilbronn, Germany Salary: TVL E-13 Contract: 100%, three years Start Date: July 1st, 2025 Responsibilities: Conduct research in the area of Natural Language Processing (NLP) Develop and apply new NLP techniques to solve real-world problems Publish high-quality research papers in top-tier journals and conferences Supervise Bachelors and Masters students Assist teaching Bachelors and Masters courses in Machine Learning and/or Natural Language Processing Qualifications: Masters in NLP, Computer Science or a related field Projects in NLP or machine learning Excellent programming skills in Python and other relevant programming languages Strong communication and presentation skills in English (German is not necessary, but would be a plus; other languages are also of strong interest, please be sure to list all languages in your materials!) Benefits: Competitive salary and benefits package Opportunity to work with leading researchers in the field of NLP Access to state-of-the-art research facilities Opportunity to publish your research in top-tier journals and conferences About the School: The School of Computation, Information and Technology at the Technical University of Munich (TUM) is one of the leading research institutions in the fields of Natural Language Processing and Machine Learning. The Fraser NLP lab at TUM is seeking a highly motivated and talented phd student / researcher to join our team. We are located at the new multi-university campus (the Bildungscampus, where the ETH Zurich center will also be located in the near future). This is in Heilbronn, in a beautiful wine region on the Neckar river, near Stuttgart. The research interests of the lab include all areas of NLP, with a particular focus on multilingual language models and machine translation. These positions will be supported by MCML and/or Fraser's ERC Advanced Grant EPICAL. To Apply: We are using the MCML call for PhD students in 2026, please follow their instructions and select Prof Fraser as your preferred advisor. https://www.portal.graduatecenter.lmu.de/ocgc/mcml Deadline: 14 November 2025 23:59 CET (but apply ideally earlier) -- Prof. Dr. Alexander Fraser Chair for Data Analytics & Statistics Technical University of Munich School of Computation, Information and Technology Heilbronn Campus Web: http://alexfraser.github.io