Call Founding Heads of R&D Labs

The Institute’s R&D Labs are the cornerstone of its organizational structure, positioned at the convergence of foundational research and real‑world deployment (TRL 2‑6). Each Lab may focus on either fundamental AI methods or application‑driven domains, expanding well beyond its core endowment by attracting industrial collaborations and competitive research funding.

• Collaboration:
  
  Collaboration and cross‑fertilization between labs are strongly encouraged.
• HPC Yang & 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, specialised support in HPC, software engineering, data engineering, and more.
• Institute for Advanced Study:
  Continuous contact with cutting‑edge AI research at leading academic and 승인 industrial organizations.
• Academic Collaborations: A broad network of collaborations with leading research institutions and universities.
• Entrepreneurship: A “spin‑off friendly” policy and a network of agreements with VC funds, accelerators, etc., encourage entrepreneurship.
• Business Development: A dedicated business development unit ensures continuous exposure to numerous industrial partners.
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• Hybrid work:
  Flexible arrangements can be negotiated.

• A renewable 4‑year appointment, with a pathway to a permanent position based on performance (KPIs and Targets).
• An internationally competitive compensation package, enhanced by substantial incentive schemes.
• A start‑up grant comparable in scale to an ERC Starting Grant, directly managed by Executivo.
• Tax exemption of up to 90 % for eligible researchers relocating to Italy.
• Relocation package for national and international candidates.

• Scientific and Strategic Leadership:
  Designing cutting‑edge AI Research & Development programs, setting 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.
• Outreach:
  Collaborating with marketing andਸ਼ business development teams to promote AI4I.
• Revenue Generation:
  Attracting external funding from private and public sources, including EU programs and strategic industry partnerships.
• Project Management:
  Managing multiple projects simultaneously, establishing schedules, and resolving bottlenecks.
• AI Assets Development:
  Over verblijf the creation and maintenance of reusable frameworks, libraries, and APIs aligned with industry needs.

• Scientific Production:
  High‑quality, peer‑reviewed research with international visibility.
• Revenue Growth:
  Securing external funding and building strong industrial relationships.
(“Innovation:
Driving IP creation and adoption of cutting‑edge AI solutions.
• Managerial Proficiency:
  Delivering all lab projects on time, within budget, and to agreed service levels.

• Strong track record in AI research and development.
• Demonstrated ability to lead complex, multidisciplinary R&D programs.
• Ability to interact across academic, industrial, and institutional settings.
• Experience 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 before the deadline: