under the reserve that funds are granted - part-time employment may be possible
The Database Systems and Information Management (DIMA) Group is currently seeking to hire a Research Associate (PhD student) to conduct research and development in the area of large dynamic graphs. As the current nature of graph processing is shifting from queries over a static graph representation to highly dynamic graph environments (e.g., Social Networks, Internet of Things), we are interested in building a heterogeneous, distributed, streaming system that is able to not only answer queries, but also run graph analytics and machine learning tasks using the temporal aspect of events. In some instances, recognizing a temporal effect can be insightful (e.g., the duration of time a link exists between two nodes). Although there is a rich body of work on static and dynamic graphs, analyzing their temporal nature is less well studied. We encourage applications from highly motivated candidates who wish to contribute to a novel heterogeneous and distributed streaming system for temporal graph stream query processing in highly dynamic environments.
Successfully completed university degree (Master, Diplom or equivalent) in computer science with a focus on data management, distributed systems, or scalable data analysis. You should be interested in working in a leading research field, developing a novel system, and conducting research in real-world application settings. Knowledge on one or more of the following areas is highly desired: distributed systems, stream processing, graph processing/mining, and scalable machine learning. Candidates must have good communication skills in English and be proficient in programming languages, such as Java or C++.
How to apply:
Please send your written application with the reference number and the usual documents (in particular cover letter, CV, academic transcripts, and reference letters) to 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 or by e-mail to firstname.lastname@example.org.
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.
Please send copies only. Original documents will not be returned.
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