Publisher
source

Volker Markl

8 months ago

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 flag

Country

Germany

University

Technische Universität Berlin

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Quantum Chemistry
Mathematics
Artificial Intelligence
Database Management
Probabilistic Modeling
Big Data
Biosensor
Statistics
Distributed System

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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Professors

Professor

University Name
Country flag

Germany

Research Interests

Artificial Intelligence

Database Management

Computer Science

Information Technology

Data Science

Professor

University Name
Country flag

Germany

Research Interests

Artificial Intelligence

Database Management

Machine Learning

Data Science

Computer Science

Professor

University Name
Country flag

Germany

Research Interests

Artificial Intelligence

Database Management

Computer Science

Data Science

Information Technology

Professor

University Name
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Germany

Research Interests

Cartography

Artificial Intelligence

Hyperspectral Imaging

Remote Sensing

Computer Vision

Professor

University Name
Country flag

Germany

Research Interests

Database Management

Artificial Intelligence

Quantum Chemistry

Computer Science

Big Data

Professor

University Name
Country flag

Germany

Research Interests

Artificial Intelligence

Database Management

Machine Learning

Quantum Chemistry

Distributed System

Professor

University Name
Country flag

Germany

Research Interests

Artificial Intelligence

Database Management

Machine Learning

Malware Analysis

Data Science