Researcher: Leakage Detection in Water Distribution
vor 2 Wochen
Kompetenzzentrum Wasser Berlin (KWB) is a non-profit company for applied research and innovation with over 35 employees which was founded in 2001. We develop innovative solutions by merging future oriented topics such as digitalization, resource efficiency, smart city and climate resilience with the traditional disciplines of the urban water cycle ().
**Researcher**: leakage detection in water distribution systems
Working hours
40h/week
Duration
2 years
Salary
TV-L oriented
Start
flexible; 01.10.2023
**Your responsibilities**:
As part of an interdisciplinary team, you will contribute to research and innovation projects at the interface of data science and engineering.
**Your key focus will be the BMBF funded project “iOLE**: intelligente Online-Leckage-Erkennung” (engl.: intelligent online leakage detection), which is a collaboration between the Hydroinformatics group at KWB and the Smart Water Networks group of Prof. Cominola at TU Berlin’s Einstein Center Digital Future.
By combining data
- and model-based methods, the algorithms in iOLE can detect small leaks and reduce false alarms. The algorithms work autonomously to detect and locate leaks, and send warnings to a predefined group of people. The project also focuses on making decisions transparent and providing supportive and visualizing elements to aid in decision-making.
Furthermore, the algorithms will be made available as open-source, and potential business opportunities will be analyzed to determine the best way to market the solution as a service.
**Your areas of knowledge and expertice**:
Must have
- A degree in the field of Civil Engineering, Computer Science, Physics, Mathematics or related fields (Diploma, Master, or PhD)
- 1 year of professional experience
- Extensive knowledge of hydraulics and water distribution systems
- Knowledge of hydraulic modelling tools, particularly, EPANET
- Experience with different programming languages (preferably Python and/or R)
- Enthusiasm for working in an interdisciplinary and international context and contributing to the development of solutions with positive societal and environmental impacts
- Professional working proficiency in English
- Professional working proficiency in German (minimum B2/C1)
- Based in Berlin or willing to move to Berlin
Nice to have
- 3 years of professional experience
- Deep understanding of data science, statistics, machine learning and modelling
- Experience working with hydraulic measurement data (pressure, flow, smart meter), anomaly detection, data validation and imputation
- Experience with model-based and/or data-driven leakage detection and localization algorithms
- Knowledge of time series analysis and time series databases (e.g., TimescaleDB, InfluxDB)
- Experience with version control systems (e.g., GitHub)
**Benefits**:
- Join a leading international research and innovation center addressing the most pressing challenges of water management, environmental protection and urban planning
- Work in an interdisciplinary team of experts in the environmental, engineering and digital fields
- Excellent working atmosphere; relaxed communication with peers; agile, fast and efficient communication thanks to small and dedicated teams
- Continuous development of your skills and expertise with tailored training opportunities
- Professional development opportunities: there is no shortage of challenges in the field of water management and urban transformation
**Please submit the following documents**:
- Letter of motivation
- CV
- Work samples (e.g. publications, reports, programming portfolio)
- University certificates and
- References
**Application deadline**: 24.08.2023
**Contact for questions**:
**Administration**:
**Tobias Evel**:
**Tel.**: +49(0)30 53653 831
**Professional**:
**Dr. David Steffelbauer**:
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