The Group of Information Integration and Data Preparation (D2IP) conducts basic and applied research in data integration, data pre-processing and data science. We are currently seeking research assistants (PhD students) in one or more of the following topics:
(1) Researching scalable agentic methods for generating data preprocessing workflows. (2) Researching technologies and systems for cleaning massive dataset repositories. (3) Researching systems and technologies for understanding data preparation and extraction pipelines
The position serves your own scientific qualification (doctorate) and includes teaching. This entails organizing and conducting courses, possibly tutorials and internships as well as the supervision of student work. You will also support study counseling and assist in conducting and organizing exams.
Teaching duties are performed.

Applicants must have an outstanding university degree (Master, Diplom or equivalent) in Computer Science or related field of study with a focus on data management, data integration, or scalable data analysis. They should have solid theoretical and practical knowledge in computer science. Ideally, applicants have in-depth knowledge of database technologies, as well as additional knowledge in machine learning, neural networks, and RAG technologies.
The ability to teach in German and/or in English is required; willingness to acquire the respective missing language skills.
Initial experience in research and in preparing publications is advantageous.
Experience in teaching and didactic competence are advantageous.

Please send your application, quoting the reference number, with the usual application documents (i.e. at least cover letter, CV, graduation certificates, grade overviews, list of publications, reference letters etc summarised in a PDF document, no larger than 3 MB) exclusively by e-mail to sekr@d2ip.tu-berlin.de.

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.