Jobid=9b11c6ac7cba (0.0298)
The Italian Institute of Artificial Intelligence AI4I is seeking for young, talented and ambitious Heads of R&D Laboratories to lead the next generation of AI research and development in AI-driven industries We welcome applications from researchers working across a wide range of AI domains – including Symbolic, Generative, Agentic, and Physical AI – as well as frontier research areas such as causality, neuro-symbolic AI, self-supervised learning, and AI for scientific discovery, who are keen to explore frontier questions and drive transformational applications at scale. We are eager to receive proposals to establish R&D Laboratories in areas such as, among others, Reasoning & Planning, Edge Intelligence, Advanced Computer Vision, Synthetic Data, Human Machine Interfaces, and Controls (cf. Our R&D Labs operate at the convergence of foundational research and real-world deployment (TRL 2 to TRL 6). They support short- and long-term innovation across strategic application domains, including manufacturing, robotics, engineering, product development, software development and testing, autonomous and decision systems, and new material discovery. About 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 well beyond its core endowment by attracting industrial collaborations and competitive research funding. Each Lab will be at the frontier between fundamental AI methodologies and their rapid, scalable deployment in industry. Labs can integrate cross-disciplinary approaches (e.G., human-centered design, decision science, behavioral insights) to ensure AI technologies are adopted effectively and responsibly. Labs Are At The Center Of An Articulated Organization Collaboration and cross-fertilization between labs are strongly encouraged. HPC & AI Supercomputing Resources: An extensive GPU-based accelerated computing facility and high-performance data infrastructure is available to support lab activities. Engineering Support: A dedicated Engineering unit provides on-demand, specialized support in high-performance computing (HPC), software engineering, data engineering, and more. The Institute for Advanced Study: The FCSP Institute of Advanced Study, as an integral part of AI4I organization, provides continuous contact with and exposure to cutting-edge AI research at the world’s leading academic and industrial organizations, enriching and supporting advanced research activities. Academic Collaborations: A broad network of collaborations with leading research institutions and universities, through joint research programs, international grants, and doctoral grants, provides opportunities to broaden and deepen the scope of research. This is further facilitated by our physical proximity to key players in the deep-tech startup ecosystem. Business Development: A dedicated business development unit ensures continuous exposure to numerous industrial partners, expanding opportunities for research and development. An internationally competitive compensation package, enhanced by substantial incentive schemes, ensuring outstanding take-home pay considering the combination of cost of living and dedicated tax benefits. A start-up grant comparable in scale to an ERC Starting Grant, directly managed by the Lab Head. Tax exemption of up to 90% for eligible researchers relocating to Italy. Your Role: Head of R&D Lab As the Head of an R&D Lab, you will design, establish, and lead one of the Institute’s core research laboratories. You will be responsible for defining the R&D plan for your lab: setting a long-term vision and short- and long-term goals; 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: Designing cutting-edge AI Research & Development programs and solutions, meeting milestones, and achieving defined success metrics. Team Building: Leading a team of AI researchers and engineers to execute advanced research and develop practical software or platforms. Collaborating with marketing and business development teams to promote AI4I, expanding its reach and influence. Attracting external funding from private and public sources to support the growth of your lab, including EU programs and strategic industry partnerships. Project Management: Managing multiple projects simultaneously, establishing schedules, and resolving bottlenecks to ensure smooth execution. AI Assets Development: Delivering high-quality, peer-reviewed research with international visibility and impact across AI and its industrial applications. Securing external funding and building strong industrial relationships. Delivering all lab projects on time, within budget, and to agreed service levels Strong track record in AI research and development, with a 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. A PhD in a relevant field. Previous leadership roles in R&D centres. Proven experience as a founder or co-founder of an innovative startup. Experience in European R&D programs or public-private consortia. Ownership of patents or copyrights in AI or related industrial applications. Submit your application exclusively through the online form by January 31, 2026, 11:59 PM CET: Scientific and Technological Plan for the Lab (max. Proposed name for the lab. Composition of the lab (human resources and other assets), with estimated costs. AI4I is committed to building diverse, inclusive teams and is an equal opportunity employer. Applications from underrepresented groups are strongly encouraged. The Italian Institute of Artificial Intelligence is looking for candidates with strong scientific and technical knowledge in areas such as: Algorithmic Research Planning and Scheduling Software Development Physics-informed Machine Learning Synthetic Data Application Domains Industrial Automation and Robotics Industrial Simulation Quality and Process Control Software Development for Industrial Applications Cybersecurity and Business Continuity for Industrial Applications
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