IpD47/2026 - Artificial Intelligence and Data Integration for Optimizing Urban Environmental Services

The research programme focuses on the design and development of a data-driven decision-support system for the optimization of operational processes in urban environmental services. The work will include requirements analysis, AS-IS/TO-BE process modelling, KPI definition, and the design of the software architecture and interoperability standards. Conceptual and logical data models, information flows, and data quality rules will be defined. The programme will also involve data integration and ETL processes, data cleaning, validation and semantic harmonization, as well as exploratory analysis, predictive models and optimization algorithms. The final phase will address module integration, prototype validation in a real-world setting, and the definition of guidelines for scalability and transferability.

Selection process

The competition will be carried out by an evaluation of titles and examination by means of an interview. For admission to the selection process referred to in Art. 1, potential candidates must fulfil the following requirements: a) PhD;b) Age 35 or under (date of birth on or after 1 January 1991). An extension of up to two additional years is permitted in the event of maternity leave, subject to proof via appropriate documentation;c) Possession of a scientific-disciplinary curriculum suitable for carrying out the research activity envisaged in this announcement;d) Knowledge of the following foreign language: English;e) Other requirements: documented research and/or development experience in the disciplinary sector: IINF-05/A Information Processing Systems.

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