Researcher: DIADEM - Data driven anomaly detection for sustainable water and energy smart grids management via EURAXESS

Libera Università di Bolzano

Bolzano, Italy 🇮🇹

Job Information

Organisation/Company: Libera Università di Bolzano

Research Field: Computer science

Researcher Profile: Recognised Researcher (R2), Leading Researcher (R4), First Stage Researcher (R1), Established Researcher (R3)

Country: Italy

Application Deadline: 23/03/2023 – 00:59 (UTC)

Type of Contract: To be defined

Job Status: Not Applicable

Is the job funded through the EU Research Framework Programme?: Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?: No

Offer Description

This research project is focused on the development of machine learning techniques for anomaly detection in time series data. In particular, we will focus on data from water distribution systems: the goal is to automatically detect new leaks so to prompt interventions aimed at reducing waste. After investigating the state of the art, we will focus on developing models specifically tailored to the data at hand, making use of the domain knowledge provided by colleagues from the Faculty of Science and Technology.


Additional Information

Eligibility criteria

Eligible destination country/ies for fellows:

  • Italy

Eligibility of fellows: country/ies of residence:


Eligibility of fellows: nationality/ies:


Website for additional job details…

Work Location(s)

Number of offers available: 1

Company/Institute: Libera Università di Bolzano

Country: Italy

Where to apply



City: Bolzano




IHE Delft MSc in Water and Sustainable Development