Join the BIFOLD Graduate School for 10 fully-funded PhD positions in Machine Learning & Data Managmenet, Berlin, Germany

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Join the BIFOLD Graduate School in Data Management & AI

The Berlin Institute for the Foundations of Learning and Data (BIFOLD; www.bifold.berlin) invites talented young researchers to join the BIFOLD Graduate School for 10 fully-funded PhD positions (TV-L E13 Berliner Hochschulen) in Data Management and Machine Learning starting in October 2026 (4-year programme).

BIFOLD conducts scalable agile fundamental research in the field of Al, primarily in the areas of data management (DM), machine learning (ML), and their intersection, including the development of novel theories, algorithms, and technologies, as well as prototypical systems and tools.

PhD students of the Graduate School benefit from

• excellent resources, such as a powerful computing infrastructure,

• comprehensive guidance provided by renowned international scientists,

• interdisciplinary exchange across AI, ML and Big Data domains at one of the world's leading AI research centres, and

• an international, collegial and family-friendly working environment.

As part of the Graduate School, we offer a variety of professional development opportunities, such as summer schools, trainings and workshops, as well as internal and external networking opportunities (e.g., access to the international BIFOLD network, funding for international conference visits, guest scientist programs).

Our research groups in the field of Data Management

•  Database Systems and Information Management (Prof. Dr. Volker Markl),

•  Data Integration and Data Preparation (Prof. Dr. Ziawasch Abedjan),

•  Big Data Engineering (Prof. Dr. Matthias Böhm),

•  Big Data Analytics for Earth Observation (Prof. Dr. Begüm Demir),

•  Management of Data Science Processes (Prof. Dr. Sebastian Schelter),

•  Distributed Data Stream Processing in Heterogeneous Environments (Dr. Steffen Zeuch)

and in the area of Machine Learning

•  Machine Learning (Prof. Dr. Klaus-Robert Müller),

•  Machine Learning and Security (Prof. Dr. Konrad Rieck),

•  Probabilistic Modeling and Inference (Dr. Shinichi Nakajima),

•  Intelligent Biomedical Sensing (Dr. Alexander von Lühmann),

•  Machine Learning for Molecular Simulation in Quantum Chemistry (Dr. Stefan Chmiela)

address cutting-edge challenges in AI and data science. You can find further details at https://www.bifold.berlin/research/workgroups.

Application

•  Fully funded PhD positions, including travel support.

•  Apply by email quoting the job reference number IV-531/25. Please submit your complete documents, including letter of motivation, CV, application form, certificates and transcripts, and recommendation letters.

•  Further information: https://www.jobs.tu-berlin.de/en/job-postings/199916 and https://www.bifold.berlin/education/graduate-school/admission

•  Apply by 13.02.2026