TaKaDu’s research team develops algorithms and statistical methods for producing actionable knowledge from water utility data. We model several aspects of the network’s normal behavior, assess the significance of deviations from the models, and attribute statistical anomalies to real-world events. We use diverse data, such as sensor readings (often scarce and noisy), network structure information and operational records. The algorithms are developed and implemented by the research team, and integrated into our analytic engine in close cooperation with our development team.
The researcher’s role includes improving our existing analysis and developing new approaches, while coping with new data-types and new required capabilities. Some of the work is performed independently, some in close cooperation of 2-3 team members.
Qualifications:
B.Sc. in Statistics/Mathematics/Computer-Science with honors (M.Sc/ Ph.D. are a plus)
Experience in researching time-series datasets
Experience as an algorithms developer
Programming experience (Python is a plus)
Statistics background
Both independent and a great team player
Additional pluses:
Relevant IDF service in a leading technological unit
Rich experience in research in hi-tech companies
Experience with data visualization and reporting
Customer-facing skills
Please contact Dr. Amitai Armon, Director of Research, via jobs@takadu.com
TaKaDu's mission is to offer utilities Water Infrastructure Monitoring so they can reduce Non-Revenue Water, both real losses and apparent losses, and better manage their network. TaKaDu’s unmatched Software-as-a-Service solution requires no physical network changes or capital expenditures. The solution, based on patent-pending mathematical and statistical algorithms, uses existing network data (flow, pressure, quality, etc.). TaKaDu's solution also tracks water quality metrics, such as chlorine and turbidity levels.TaKaDu's solution is fully operational with utilities and partners in Europe, Australia, Latin America, Israel and the US.
