under the reserve that funds are granted - part-time employment may be possible
Integration and analysis of different data sources (weather forecasts, historical data, distributed sensors) will allow to predict the expected load in water/wastewater systems increasingly accurately. Consequently, the goal becomes to optimize the operation of these critical infrastructures energetically and to increase the resiliency towards extreme situations such as heavy rainfall events based on load predictions. In Berlin, for example, annually there are several combined sewer overflows (CSOs), in which wastewater has to be relieved untreated into Berlin's surface waters. As part of the OPTIMA project, we - jointly with project partners in Berlin / Brandenburg as well as Berliner Wasserbetriebe - will examine the extent to which CSOs and the energy consumption of the pumping systems can be reduced if available data sources are integrated to predict loads. Furthermore, we will take the requirements of the critical infrastructure (e.g. reliability, availability, and response times) into account.
Our focus within this project will lie on the development of the overall system architecture, on the design and implementation of the scalable data analysis, and further the analysis of the applicability of the system on the scale of a city like Berlin. We expect to empirically test and evaluate the use of recent research results and current technologies for this project as well as implement adaptations and optimizations of existing systems as 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 / scalable machine learning, and Cloud Computing.
Cooperation in a national project consortium, interest in practical software development and operation of a large-scale system architecture, as well as enthusiasm to establish recent research results in practice.
Team spirit as well as an excellent command of English and German.
Preferable: Good knowledge of the programming languages Java/Scala and Python, distributed dataflow systems like Flink and Spark, scalable data stores like Cassandra and HDFS, messaging systems like Kafka and MQTT, as well as administration of databases and Linux servers.
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. TEL 12-5, Ernst-Reuter-Platz 7, 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 Telekommunikationssysteme, FG Komplexe und Verteilte IT-Systeme, Prof. Dr. Odej Kao, Sekr. TEL 12-5, Ernst-Reuter-Platz 7, 10587 Berlin