“UIST - User Interface Software and Technologies” (CUP B53C23004120005) e “HHPC - Horizon HPC” (CUP B53C24000890005) - Bando CR 007 2026 ISTI PI

Italian Ministry of Education, University and Research; Italy; On-site; EUR 40,000 - 60,000; Full time

Job summary

Consiglio Nazionale delle Ricerche in Italy is seeking researchers to design and develop tools for managing intelligent environments—spaces equipped with sensors, IoT objects and connected robots.

The work includes evaluating usability and impact through longitudinal studies in real-world installations, with a focus on integrating AI techniques such as machine learning, deep learning and reinforcement learning to enhance user interaction with these environments.

Responsibilities

• Research, design, and development of tools for managing intelligent environments.
• Evaluate usability and impact of the developed tools through longitudinal studies in real-world installations.
• Apply AI techniques—including machine learning, deep learning, and reinforcement learning—to enhance interaction with environments and connected devices.

Job description

Organisation/Company Consiglio Nazionale delle Ricerche Research Field Computer science Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 2 Nov 2026 - 12:00 (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

Research,design,and development of tools for managing intelligent environments—settings characterized by the presence of sensors,Internet of Things (IoT) objects,and/or connected robots.These tools are intended to support the definition and management of automations or interactive experiences (such as games) within application contexts like smart homes and ambient assisted living,facilitating user interaction with the environment—even for those with no programming expertise.The work will include evaluating the usability and impact of the developed tools,also through longitudinal studies conducted in real-world installations.Particular focus will be placed on integrating artificial intelligence techniques—including machine learning,deep learning,and reinforcement learning—to enhance interaction with these environments and connected devices,e.g. through systems that recommend automations or mechanisms that adapt to the specific context and the user’s emotional state.

• Italy

Eligibility of fellows: country/ies of residence:

• Italy
• EUROPE
• OTHER
• E.U.

Eligibility of fellows: nationality/ies: