PhD Researcher for multimodal Foundation Models (EU Project ELLIOT, EU Project Minvera) (E 13 TV-L, 75%, m/f/d)

The Tübingen AI Center aims to foster a world-class research ecosystem in the field of Machine Learning and Artificial Intelligence. It is one of five competence centers funded by Germany's Ministry of Education and Research and collaborates closely with the first institute of the European Laboratory for Learning and Intelligent Systems (ELLIS). It is part of the major Cyber Valley initiative, where many partners in academia and industry have joined forces to work on breakthroughs in artificial intelligence. The Tübingen AI Center is a joint institute between the University of Tübingen and the Max Planck Institute for Intelligent Systems, which are top academic institutions in artificial intelligence. An important part of the Tübingen AI Center is the software engineering team that supports the research ecosystem in website platforms, computing infrastructure and research projects.

The Tübingen AI Center (Prof. Kühne, Prof. Gehler, Prof. Bethge, Dr. Geiping, Dr. Meding) is looking for a PhD researcher to work on European efforts to train large-scale multi-modal foundational models. In this position we are looking for a capable machine learning scientist with a background in data curation.

As part of this research project, you will have the opportunity to engage in fundamental and groundbreaking research, collaborate with leading experts in the field, and contribute to projects that have real-world impact. We foster a collaborative and interdisciplinary environment where creativity and innovation thrive.

There are open research challenges create an impact through your work

  • data quality and sourcing
  • Multimodal Learning: Investigate how to effectively combine and learn from different types of data, such as images, text, and audio.
  • Annotate datasets at scale for categories such as GDPR-related content; includes model benchmarking.

We look forward to your contributions and to exploring the exciting challenges and opportunities in foundational model design.

Qualifications

  • A Master’s degree in Computer Science or a related technical field.
  • A strong interest in computer science and artificial intelligence.
  • Curiosity driven person with interest in research for example demonstrated by a first publication.
  • Experience in machine learning, computer vision, or a related area.
  • Excellent programming skills in Python.
  • Good mathematical foundations in linear algebra, probability, and statistics.

Application and deadline

Equally qualified applicants with disabilities will be given preference in the hiring process. The university is committed to equal opportunities and diversity. The University of Tübingen seeks to raise the number of women in research and therefore urges suitable qualified women to apply for this position. The position can be shared. The employment will be carried out by the central administration of the University of Tübingen. Please send your complete application documents (cover letter, CV and credentials) electronically as a single PDF file to applications＠tuebingen․ai.