Volker Markl
8 months ago
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Fully Funded PhD Positions in Data Management and Artificial Intelligence at Berlin Institute for the Foundations of Learning and Data (BIFOLD) Technische Universität Berlin in Germany
Degree Level
PhD
Field of study
Computer Science
Funding
All positions are fully funded (TV-L E13 Berliner Hochschulen) for four years, including travel support, conference funding, and access to professional development opportunities. The positions are salaried and provide comprehensive resources and support.
Deadline
Expired
Country
Germany
University
Technische Universität Berlin
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About this position
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].
Funding details
All positions are fully funded (TV-L E13 Berliner Hochschulen) for four years, including travel support, conference funding, and access to professional development opportunities. The positions are salaried and provide comprehensive resources and support.
What's required
Applicants must have a completed academic university degree (Master, Diploma, or equivalent) in computer science or a closely related field with a focus on at least one BIFOLD core area, with very good grades. Good programming skills (e.g., Python, Java, Scala, C/C++, Rust) are required. For Data Management positions, hands-on experience with big data or database systems is needed. For Machine Learning positions, strong knowledge of ML theories and methods, and practical experience with ML algorithms and frameworks (e.g., NumPy, PyTorch, TensorFlow, JAX) are required. For interdisciplinary positions, experience in applied ML, data integration, and data science pipelines is expected. Excellent English communication skills are mandatory; basic German or willingness to learn is required. Early research experience and teaching competence are advantageous.
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Prepare your application
Review drafts and confirm requirements with the university.
Professors
Professor
Germany
Research Interests
Artificial Intelligence
Database Management
Computer Science
Information Technology
Data Science
Professor
Germany
Research Interests
Artificial Intelligence
Database Management
Machine Learning
Data Science
Computer Science
Professor
Germany
Research Interests
Artificial Intelligence
Database Management
Computer Science
Data Science
Information Technology
Professor
Germany
Research Interests
Cartography
Artificial Intelligence
Hyperspectral Imaging
Remote Sensing
Computer Vision
Professor
Germany
Research Interests
Database Management
Artificial Intelligence
Quantum Chemistry
Computer Science
Big Data
Professor
Germany
Research Interests
Artificial Intelligence
Database Management
Machine Learning
Quantum Chemistry
Distributed System
Professor
Germany
Research Interests
Artificial Intelligence
Database Management
Machine Learning
Malware Analysis
Data Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.