Research Assistant, 10 positions, PhD candidate, E13, Graduate School
Research Assistant, 10 positions PhD Candidate, E13, Graduate School
Join the 'Berlin Institute for the Foundations of Learning and Data' as a doctoral student in our Graduate School, where you will contribute to cutting-edge research in Data Management, Machine Learning, and their intersection. BIFOLD conducts scalable agile fundamental research in the field of AI in the German AI metropolis of Berlin. The institute is part of the network of six national competence centres for artificial intelligence research in Germany. Their joint task is to further establish Germany’s leading position as top-tier location for research on AI technologies.
Doctoral students in the BIFOLD Graduate School benefit from comprehensive guidance by renowned international scientists, interdisciplinary exchange, and professional development opportunities at one of the world's leading AI research centres. Alongside cutting-edge research projects we offer access to international conferences, summer schools, workshops, and a variety of professional development opportunities, including comprehensive mentoring, funding for conference visits, and guest scientist programs. BIFOLD stands for an international, collegial and family-friendly working environment.
Tasks
Based on the overarching research foci of BIFOLD, the Graduate School offers PhD projects in the areas of current challenges in AI, Data Science and distributed analysis of large amounts of data, with a focus on Data Management, Machine Learning, and their intersection; including the development of novel theories, algorithms, and technologies, as well as prototypical systems and tools.
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),
- Management of Data Science Processes (Prof. Dr. Sebastian Schelter),
- Big Data Engineering (Prof. Dr. Matthias Böhm),
- Big Data Analytics for Earth Observation (Prof. Dr. Begüm Demir),
- 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 artificial intelligence and data science. You can find further details at the Research Groups website.
We are offering five positions focused on Data Management and five on Machine Learning, each aligned with one of our research groups. Brief descriptions of the current research projects and associated doctoral subjects of the individual BIFOLD research groups can be found on our Opportunities website. Applicants are encouraged to explore the research groups and select the research areas that align with their interests in the application. The positions include teaching tasks.
Further Information about the Graduate School and the Admission Process.
Employer: TU Berlin / BIFOLD
Salary grade: TV-L E13 Berliner Hochschulen
Starting date: October 1, 2025 / for 4 years
Closing date: February 03, 2025
Full job posting: IV-631/24