Technische Universität Berlin offers an open position:
part-time employment may be possible
The employee will be placed in the specified pay group if all personal and pay scale requirements are met.
The campus of Technische Universität Berlin lies in the heart of the capital. We are one of Germany's leading universities of excellence and, with around 34,000 students, one of the largest technical universities. TU Berlin is a vibrant place where people work, learn, and live. Become part of BIFOLD at TU Berlin: We develop ideas for the future—for the benefit of society.
BIFOLD is one of six AI research competence centers in Germany, permanently funded by the German Federal Ministry of Education and Research (BMBF). Together, these centers form the core of Germany’s AI research ecosystem, fostering a network for the exchange of expertise and research outcomes.
We are seeking an Employee in Information and Communication Technology (f/m/x) for the research groups Management of Data Science Processes ( https://deem.berlin ) and Information Integration and Data Preparation ( https://www.tu.berlin/d2ip ).
The D2IP group conducts fundamental and applied research in data integration, preprocessing, and data science.
The DEEM group focuses on foundational research at the intersection of data management and machine learning, addressing data-related challenges in ML applications with significant economic, societal, or scientific impact.
Desirable:
What We Offer:
Please send your application, stating the reference number, with the usual documents (i.e. at least a cover letter, CV, degree certificates, grade transcripts and a description of the research project compiled into a single PDF document, no larger than 3 MB) exclusively by e-mail to abedjan@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.
Technische Universität Berlin - Die Präsidentin - Fakultät IV, Berlin Institute for the Foundations of Learning and Data – BIFOLD, Ernst-Reuter Platz 7, Sekr.: TEL 9-2, 10587 Berlin
ID: 193067