Founding Heads of four R&D Labs

The Italian Institute of Artificial Intelligence for Industry (AI4I) is a public research institute established in June 2024. It is dedicated to advancing cutting-edge research in Artificial Intelligence across science, technology, and industrial applications. Conceived as a strategic national infrastructure and supported by stable public funding, the Institute is based in a unique innovation hub in Turin. It is building an international research community with strong ties to academia, industry, and European institutions, while operating within the national AI Factory and leveraging the high-performance computing infrastructure provided by CINECA.

This call aims to appoint the founding Heads of AI4I’s R&D Labs, which form the backbone of the Institute’s scientific and technological architecture.

We welcome applications from researchers to head four new R&D Labs focused on frontier domains of AI research and their industrial applications:

• Computer Vision for Industrial Environments
• Generative AI and Foundation Models in Advanced Manufacturing
• Agentic AI for Intelligent Decisions
• AI for Cybersecurity

Our R&D Labs operate at the convergence of foundational research and real-world deployment, supporting long-term innovation across strategic sectors, public infrastructures, and critical industrial ecosystems. By embedding research activities within a fully integrated ecosystem—including the AI Foundry (for model design and testing), the System for User Knowledge (SUK) (for industrial co-design and project matching), and the AI Factory (for deployment and scale-up)—the Institute aims to position Italy and Europe as global leaders in advanced AI capabilities.

Location

Turin (hybrid work arrangements may be negotiated)

Our R&D Labs

R&D Labs are the cornerstone of the Institute’s organizational structure. Each Lab may focus on either foundational AI methods or application-driven domains, and is designed to expand beyond its core endowment by attracting industrial collaborations and competitive research funding. Operating at the frontier between theoretical research and scalable deployment, each Lab will contribute to the development of high-impact solutions and help shape long-term technological leadership in AI.

Each Lab will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industrial environments. The overarching goal is to deliver high-impact solutions while contributing to long-term technological leadership.

This call aims to appoint the Founding Heads of four R&D Labs:

• Computer Vision for Industrial Operations – This lab is dedicated to advancing next-generation computer vision technologies to empower intelligent systems for control, automation, and safety in cutting-edge industrial environments. Research activities focus on developing visual perception algorithms for process monitoring, predictive maintenance, quality inspection, and seamless human-machine interaction across complex settings such as manufacturing and aerospace. By integrating advanced sensors, deep learning techniques, and multimodal models, the lab addresses a wide range of applications—from crew-uncrewed teaming in autonomous vehicles to smart factory solutions and collaborative robotics.
• Generative AI and Foundation Models in Advanced Manufacturing – This lab explores the transformative potential of generative AI and foundation models in advanced manufacturing. The group designs and applies large language models and automated code generation systems to accelerate industrial software engineering, optimize development, testing, and maintenance processes, and reduce human error. Key focus areas include data-driven predictive maintenance, intelligent requirements analysis, automated documentation generation, proactive anomaly detection, and the customization of complex industrial workflows. Activities are closely aligned with real-world manufacturing needs, aiming to strengthen the digital competitiveness of the sector.
• Agentic AI for Intelligent Decisions – This lab is focused on the development of agentic AI systems capable of autonomous and collaborative decision-making in dynamic industrial scenarios. Research topics include the design of intelligent agents that learn, reason, and act independently or as part of human-machine teams, enabling applications such as adaptive process optimization, autonomous mission planning, and multi-agent coordination. Emphasis is placed on explainability, robustness, and trustworthiness of AI-driven decisions, supporting new paradigms for high-autonomy systems in domains such as aerospace, logistics, and smart manufacturing, with broad applicability beyond the industrial sphere.
• AI for Cybersecurity – This lab leverages state-of-the-art AI to address emerging cybersecurity challenges in industrial contexts. Research activities target the integration of machine learning for real-time threat detection, anomaly identification, automated response, and vulnerability assessment throughout the software and operational technology lifecycle. The lab focuses on building resilient AI-powered solutions for secure software development, intelligent monitoring, predictive risk analysis, and defense against sophisticated attacks. Emphasis is placed on aligning solutions with the unique requirements of industrial systems, enhancing both digital safety and operational continuity.

As the Head of an R&D Lab, you will design, establish, and lead one of the Institute’s core research entities. You will be responsible for setting a long-term vision, attracting world-class talent, delivering scientific and technological breakthroughs, and positioning the Institute as one of the world’s leading centers for AI research and innovation. With support from the Institute’s core support functions and engineering infrastructure, your responsibilities will include:

• Scientific and Strategic Leadership: Designing cutting-edge AI Research & Development programs and solutions, meeting milestones, and achieving defined success metrics.
• Team Building: Leading a team of AI scientists, researchers, and engineers to execute advanced research and develop practical software or platforms.
• Revenue Generation: Attracting external funding from private and public sources to support the growth of your lab, including EU programs and strategic partnerships with industry.
• Interface Management: Bridging the gap between partners/clients and the Institute’s R&D resources and infrastructure by translating customer requirements into actionable tasks.
• Project Management: Managing multiple projects simultaneously, establishing schedules, and resolving bottlenecks to ensure smooth execution.
• AI Assets Development: Overseeing the creation and maintenance of reusable frameworks, libraries, and APIs aligned with industry needs.
• Innovation and Collaboration: Monitoring AI advancements, identifying opportunities for impactful innovation, and aligning efforts with other R&D Labs and external partners.
• Outreach: Collaborating with marketing and business development teams to promote AI4I, expanding its reach and influence.

An Integrated Scientific and Technological Ecosystem

All Labs will operate within a high-performance research environment that includes:

• The AI Foundry, equipped with over 80 NVIDIA B200 GPUs, 68 H200 GPUs, more than 6 petabytes of high-speed storage, and a dedicated deployment pipeline integrated with SUK and industrial demonstrators. The Foundry supports the full AI development pipeline—from model design to deployment—with dedicated engineering capacity.
• The System for User Knowledge (SUK), a dynamic marketplace and digital infrastructure for scientific and industrial co-design, matchmaking, and deployment. SUK connects our R&D Labs with companies and institutions, enabling co-designed projects, industrial scaling, and access to competitive funding.
• The Institute for Advanced Study, funded by Compagnia di San Paolo and managed by AI4I, hosts a continuous flow of international visiting scholars and non-resident fellows.
• Strategic Partnership with the Italian Institute of Technology (IIT), which supports the Institute’s administrative structure and collaborates with AI4I on scientific and technological programs.
• Strong academic partnerships with Politecnico di Torino, the IMT School for Advanced Studies Lucca and other leading Universities (work in progress) on PhD programs and research collaborations.
• Close cooperation with several leading industrial and technological partners.
• Access to high-performance computing through CINECA, which provides advanced computational infrastructure and plays a core role in the national AI Factory coordinated by the Institute.

What We Offer

• A renewable 4-year appointment, with a pathway to a tenured position.
• An internationally competitive compensation package [1], plus relocation support.
• A start-up grant comparable in scale to an ERC Starting Grant [2], directly managed by the Lab Head.
• Tax exemption of up to 90% for researchers relocating to Italy.
• Relocation package for national and international candidates.
• Access to high-end computing and R&D infrastructure.
• Integration into the Institute’s strategic R&D network.
• Access to a continuous stream of world-class scholars at the CSP Institute for Advanced Study, as well as a broad academic and industrial R&D network.
• Opportunities to participate in AI4I’s incubation and acceleration programs.

[1] Workers and researchers applying from abroad might be eligible for tax benefits (link). [2] The amount and duration will be eventually determined based on the lab’s strategic and financial plan.

Qualifications we are looking for

We seek leaders with:

• Strong track record in AI research and development, with deep understanding of methods and architectures.
• Demonstrated ability to lead complex, multidisciplinary R&D programs, from design to implementation.
• Ability to interact across academic, industrial, and institutional settings.
• Experience in applying AI in sectors such as advanced manufacturing, autonomous systems, human-machine interaction, or software development.

Preferred Qualifications

• A PhD degree.
• Proven experience as a founder or co-founder of an innovative startup.
• Previous leadership roles in R&D centres.
• Experience managing and leading R&D teams.
• Ownership of patents or copyrights in AI or related industrial applications.
• Experience in European R&D programs or public-private consortia.

Key Success Metrics

Your performance will be evaluated against annual and multi-year KPIs, including:

• Scientific Production: Delivering high-quality, peer-reviewed research with international visibility and impact across AI and its industrial applications.
• Strategic Impact: Developing a robust vision for your group aligned with the Institute’s mission, fostering high-impact projects.
• Project Execution: Delivering projects on time, within budget, and with measurable impact.
• Innovation: Driving IP creation and adoption of cutting-edge AI solutions.
• Revenue Growth: Securing external funding and building strong industrial relationships.