Of­fer 36 out of 75 from 01/04/21, 00:00


Tech­ni­sche Uni­ver­sität Ber­lin - Faculty IV - Institute of Software Engineering and Theoretical Computer Science/ Database Systems and Information

2 positions - Research Assistant - salary grade E 14 TV-L Berliner Hochschulen

part-time employment may be possible

As part of the federal government’s AI strategy, a leading center for cutting-edge research has been established in Berlin. In terms of its areas of work, the Institute for the Foundations of Learning and Data (BIFOLD pursues three major objectives:
- top level research in the areas of Big Data and machine learning and their interfaces
- the development of technologies, tools and systems to firmly anchor the topic of AI in science as well as business and society
- training and educating the AI experts so urgently required internationally.
(Source TU Berlin Press release No. 5/2020)

Work­ing field:

Within the BIFOLD-BBDC - in cooperation with other institutions from Berlin and internationally - methods for massively distributed analysis and processing of extremely large amounts of data will be investigated. Our research focuses on the declarative specification of methods of data analysis, e.g. machine learning, statistics, or signal processing as well as their execution and automatic optimization in massively distributed environments. We also design a novel programming model - based on concepts of functional programming, compiler construction, and database systems - that supports the user in developing and executing even the most complex, data-intensive applications in a distributed and fault-tolerant form on our platform without any knowledge of system programming. The main focus is on tasks in the following areas: Big Data Management, Big Data Architectures and Benchmarking Processing of high data volumes and low latency, Novel hardware architectures for information management; Scalable processing and optimization of declarative data analysis programs; Scalable infrastructures for data science and artificial intelligence.


Successfully completed scientific university studies (Master, Diploma or equivalent). A doctorate in the research area of database systems or comparable achievements through relevant publications at renowned database conferences is desirable. In addition, the willingness to work in a leading research area at the forefront of technical innovation, interest in system development and to establish research results in practical application is expected. Ideally, in addition to in-depth knowledge of the development of database technology, the applicant also specializes in query processing or optimization. Knowledge of programming languages and compilers, distributed systems, programming language design, parallel programming and benchmarking system evaluation should be present. This should be documented by appropriate publications. A good knowledge of Hadoop Internals, Map/Reduce Programming and parallel database implementation would be an advantage. In addition, knowledge of mathematics, statistics, analytics and project management is of great importance. A further requirement is an excellent command of English. Knowledge of German is not mandatory, but basic knowledge of the German language is expected, or the interest and willingness to learn the language. This is helpful for daily work and communication and also for the documentation of research results.

How to ap­ply:

Please send your application with the reference number and the usual documents only by email to Prof. Dr. Markl at

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 TU website quick access 214041.

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.

Technische Universität Berlin - Der Präsident -
Fakultät IV, Institut für Softwaretechnik und Theoretische Informatik,
FG Datenbanksysteme und Informationsmanagement (DIMA),
Prof. Dr. Markl, Sekr. E-N 7, Einsteinufer 17, 10587 Berlin