Organisation/Company Università degli Studi di Verona Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 29 Oct 2026 - 13:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No
Offer Description
The research aims to develop and validate innovative Reinforcement Learning (RL) methods for the adaptive and multi-objective control of hybrid building energy systems combining multi-source heat pumps, conventional heating systems, boilers, thermal storage, and renewable energy sources. The research will contribute to the development of a prototype RL-based supervisory control framework operating as a non-invasive intelligence layer on existing HVAC systems and exploiting realistic simulation environments and operational data for offline training, safe policy improvement,



sim-to-real transfer, and controlled online adaptation. Particular attention will be devoted to safety, robustness, and explainability. The developed methodologies will be evaluated using realistic simulations and, where feasible, real operational scenarios, assessing their impact on energy consumption, operating costs, CO2 emissions, and indoor comfort
For admission to the selection process referred to in Art. 1, potential candidates must fulfil the following requirements:
a) Master's Degree in Artificial Intelligence [Laurea Magistrale o a ciclo unico awarded pursuant to Art. 3(1n), Ministerial Decree no. 270 of 22/10/04], obtained no more than six years before the expiry date of this call;
b) Possession of a curriculum suitable for assisting in carrying out research activities;
c) Knowledge of the following foreign language: English.
Italy
Eligibility of fellows: country/ies of residence:
AFRICA

📌 Id/26 - Reinforcement Learning Methods and Software Frameworks for the Intelligent Control of Hyb (Italia)
🏢 Italian Ministry of Education, University and Research
📍 Italia