The Chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for outstanding candidates for three PhD positions to be filled on August 1st 2025 to enlarge our research team working on NLP for medical applications.
Your Responsibilities
- Conduct applied research at the intersection of Natural Language Processing (NLP) and Software Engineering, with a focus on medical applications.
- Manage interdisciplinary projects with academic and medical domain experts.
- Support Software Engineering and NLP education for Bachelor’s and Master’s students in Informatics and Data Science.
- Supervise Bachelor’s and Master’s theses.
We Offer
- Practice-oriented research projects with leading academic and industry partners (like Google, Google.org, SAP, Merck, TUM Klinikum, Holtzbrinck).
- Diverse research topics and technologies, including:
- Conversational Semantic Search, Question Answering Systems, Complex Information Extraction.
- Fact-Checking, Argument Mining, Automated Planning, and Decision-Making.
- Training, domain adaptation, and evaluation of cutting-edge LLMs and Multi-Modal models in the cloud and on premise.
- Software Engineering and regulatory compliance for innovative NLP applications.
- Full-time position (100% TVL-E 13).
- A collaborative environment in a dynamic, young team at one of Europe’s top universities.
- Opportunities to present at prestigious international conferences.
- Contributions to open-source projects and collaborations with start-ups and spin-offs.
- Excellent training and career support, including courses and personal coaching.
Your Qualifications
- An outstanding Master’s degree in Computer Science, Computational Linguistics, Data Science, or a related field.
- Strong theoretical knowledge and hands-on experience in developing NLP applications.
- Proficiency in Software Engineering and Data Science techniques.
- High motivation to create innovative NLP solutions addressing business, medical and societal needs in collaboration with industry partners.
- Excellent communication skills and experience contributing to software development within distributed, multicultural teams.
- Proficiency in German is required (B1 certificate).
Application Procedure
Please send your motivation letter, CV, and transcripts of records to Prof. Florian Matthes at matthes@tum.de.
Important Notes
- Severely disabled persons are given preference in the case of essentially equal suitability and qualifications.
- The TUM strives to increase the proportion of women; applications from women are therefore expressly welcomed.
- When applying for a position at the Technical University of Munich (TUM), you submit personal data. Please refer to our data protection information in accordance with Art. 13 of the General Data Protection Regulation (DSGVO) regarding the collection and processing of personal data in the context of your application (https://portal.mytum.de/kompass/datenschutz/Bewerbung/). By submitting your application, you confirm that you have taken note of the TUM data protection information.