The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at Technische Universität Berlin is offering two fully funded PhD positions in the areas of computer science, data science, and machine learning. These positions are available in the DIMA research group, led by Professor Volker Markl, and the DAMS Lab, led by Professor Matthias Böhm. Both groups are part of Faculty IV - Electrical Engineering and Computer Science.

The DIMA group focuses on research in database systems, big data analytics, and the development of information management theory and algorithms, particularly for parallel and distributed processing systems. Responsibilities include conducting research, developing scalable data science systems, and teaching courses such as Informationssysteme und Datenanalyse, Database Technology, and Scalable Data Science: Systems and Methods.

The DAMS Lab specializes in system infrastructure for data-centric machine learning pipelines, efficient training and inference of large language models, compilation techniques for linear algebra programs, and support for heterogeneous hardware accelerators. The group also emphasizes teaching and system-oriented research in data management for the end-to-end data science lifecycle.

Applicants should hold a Master’s degree (or equivalent) in computer science, business informatics, or a related field. Required skills include strong programming abilities in Java, C/C++, and Python, as well as in-depth knowledge of SQL databases, declarative query processing, distributed and parallel databases, and data analysis algorithms. The ability to teach in German and/or English is required, with a willingness to acquire missing language skills. Additional desirable qualifications include project management experience, teamwork, industrial internships, research methods, and didactic competence.

Both positions are fully funded at salary grade E13 TV-L Berliner Hochschulen, with a duration of up to five years. The funding covers salary and social benefits according to German public sector regulations. The start date is as soon as possible, and both full-time and part-time employment are possible.

To apply, candidates should send their application with the reference number and all required documents (cover letter, CV, transcripts, degrees) in a single file (max. 10 MB) by email to prof@dima.tu-berlin.de (for DIMA) or jobs@dams.tu-berlin.de (for DAMS). Applications from women, individuals with disabilities, and people of all nationalities and backgrounds are encouraged. The application deadlines are November 15, 2025 (DIMA) and November 21, 2025 (DAMS).

For more information, visit the official job postings:
DIMA position
DAMS position