Call for founding heads of r&d laboratories
Pubblicato il 02-10-2026 - AI4I Opens Two International in Piemonte
The Italian Institute of Artificial Intelligence (AI4 I) The Italian Institute of Artificial Intelligence (AI4 I) is seeking for talented and ambitious Heads of R&D; Laboratories to lead the next generation of AI research and development in AI-driven industries APPLICATION DEADLINE 15th December 2026, 11:59 PM CET TURIN, ITALY Hybrid arrangements may be negotiated. Lead the next generation of artificial intelligence research for industrial innovation.
The Italian Institute of Artificial Intelligence (AI4 I) invites applications from outstanding, entrepreneurial and ambitious researchers to establish and lead new R&D; Laboratories at the intersection of frontier artificial intelligence and industrial transformation.
Founding Heads will define the scientific identity of their Laboratories, build internationally competitive teams, create reusable AI assets, and translate research excellence into industrial, technological and societal impact. AI4 I is seeking outstanding AI researchers and scientific leaders capable of making major,
original contributions to frontier artificial intelligence and its industrial application.
Candidates are invited to propose a distinctive R&D; Laboratory, define its scientific identity and set out a credible four-year path from research excellence to reusable technological assets, industrial validation and impact. About AI4 I's R&D; Laboratories R&D; Laboratories are the cornerstone of the Institute's scientific and technological architecture.
Each Laboratory may focus on foundational AI methods, enabling platforms or application-driven domains and is expected to grow beyond its initial endowment by attracting competitive research funding, industrial collaborations and technology-transfer opportunities. AI4 I Laboratories operate at the convergence of frontier research and real-world validation, primarily across TRL 2–6. They are expected to produce internationally visible science while creating reusable software, models, datasets, benchmarks,