The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at Technische Universität Berlin is offering 10 fully funded PhD positions in Data Management and Artificial Intelligence, starting October 2026. The BIFOLD Graduate School is a leading center for research in AI, machine learning, and big data, providing an interdisciplinary and international environment for early-stage researchers. The program spans four years and is designed for candidates with strong backgrounds in computer science, data science, or closely related fields.

Research at BIFOLD covers a wide range of topics, including database systems, data integration, big data engineering, distributed data stream processing, machine learning, security, probabilistic modeling, biomedical sensing, and quantum chemistry. PhD students will join one of several research groups led by renowned scientists such as Prof. Volker Markl, Prof. Ziawasch Abedjan, Prof. Matthias Böhm, Prof. Begüm Demir, Prof. Sebastian Schelter, Dr. Steffen Zeuch, Prof. Klaus-Robert Müller, Prof. Konrad Rieck, Dr. Shinichi Nakajima, Dr. Alexander von Lühmann, and Dr. Stefan Chmiela. Each group addresses cutting-edge challenges in AI and data science, with opportunities for interdisciplinary collaboration.

Applicants must hold a Master’s degree (or equivalent) in computer science or a related discipline, with excellent grades and relevant research experience. Strong programming skills are essential, and specific experience in big data systems, database management, or machine learning frameworks is required depending on the chosen research area. Proficiency in English is mandatory, and basic German or willingness to learn is expected. The program values diversity and encourages applications from all backgrounds.

All positions are fully funded under the TV-L E13 Berliner Hochschulen salary scale, including travel support, conference funding, and access to professional development opportunities such as summer schools and workshops. The application deadline is February 13, 2026. Interested candidates should submit their application as a single PDF file by email, including the application form, letter of motivation, CV, certificates, transcripts, and arrange for two recommendation letters to be sent directly. For more information, visit the BIFOLD website or contact [email protected].