Technische Universität Berlin - Facultät IV - Institute of Telecommunication Systems / Complex and Distributed IT Systems (CIT)
Research Assistant - salary grade E13 TV-L Berliner Hochschulen
under the reserve that funds are granted - part-time employment may be possible
In cooperation with institutions based in Hamburg, Kiel and Berlin the WaterGridSense project will research and develop a new sensor and data analytics platform for use in sewage systems of larger cities. The platform will allow to monitor, understand, and predict the state of the sewage system for optimizing the operation and maintenance of the sewage system. The goals are to reduce costs and to increase the resilience of sewage infrastructures – especially in light of changing user behavior, increasing demands, and climate change (keywords: leakage detection, predictive maintenance, load prediction).
Our focus within this project will lie on the development of the overall system architecture, in designing and implementing a scalable data analytics platform, and in implementing anomaly detection algorithms using machine learning. Therefore, we intend to use methods and technology developed for scalable parallel data analytics and machine learning to be able to continuously process data streams from sensors deployed in, for example, up to 120,000 drains and the entire canal system of a city like Hamburg or Berlin. We expect to empirically test and validate the usage of current technologies and recent research results for this as well as adaptations and optimizations of existing systems to be necessary. The results are to be published.
PhD thesis preparation is possible.
Successfully completed university degree (Master, Diplom or equivalent) in computer science; specialization in distributed systems, parallel data analytics, and/or scalable machine learning. Cooperation in a project consortium, interest in system development and operation of a large-scale software architecture, as well as enthusiasm to establish recent research results in practice. Very good knowledge of the programming languages Java and Scala, the distributed dataflow systems like Flink and Spark, scalable databases like Cassandra and MongoDB, messaging systems like Kafka and RabbitMQ, as well as administration fo databases and linux servers. Experience and knowledge in the area of project management and agile development methodologies. Experience in research. Further requirements: team spirit and excellent command of English.
How to apply:
Please send your written application with the reference number and the usual documents to Technische Universität Berlin - Der Präsident - Fakultät IV, Institut für Telekommunikationssysteme, FG Komplexe und Verteilte IT-Systeme, Prof. Dr. Odej Kao, Sekr. EN 59, Einsteinufer 17, 10587 Berlin or by e-mail to email@example.com.
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 Telekommunikationssysteme, FG Komplexe und Verteilte IT-Systeme, Prof. Dr. Odej Kao, Sekr. EN 59, Einsteinufer 17, 10587 Berlin