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Applications are open → Application Platform under TEF Research

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Turning breakthrough science into impact.

The TEF Berkley Fellowship backs researchers tackling hard, unsolved problems with real potential. It offers you a two-year postdoctoral scholarship on premise at UC Berkley paired with attendance to the Berkley Discovery program.

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What is the TEF Berkley Fellowship

Europe and Italy produce world-class science. Too little leaves the lab and has real world impact.

The Fellowship funds advanced postdoctoral research in TEF’s priority thematic areas, backing basic research, applied research, and projects with entrepreneurial potential. It gives young researchers the freedom to build an independent, internationally minded research career, together with real impact on innovation and entrepreneurship.

What you get

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Full Research PostDoc scholarship at UC Berkley for 2 years (24 months)

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Access to Berkley Discovery and exposure to CITRIS Foundry and Innovation Hub

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Integration into the broader TEF ecosystem and forming a bridge between Italy and the Berkley innovation ecosystem

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Who we are looking for

We are looking for researchers who believe their science can have meaningful impact, are ambitious and want to experience an unique research environment. Fellows feel the urge to make impact happen, in their research, in Italy, in the world.

Applicants submit a research proposal that has strong innovation character, has the potential to make a significant scientific contribution and ideally fosters transfer of knowledge and culture of growth between both continents.

Eligibility requirements

• Affiliated with Politecnico di Milano or Bocconi University (or a formal TEF Partner institution).

• Holding a PhD degree or similar education or being expected to receive the degree until December 31st 2026.

• The proposed project targets TEF focus areas:

  AI, control and autonomous systems

  • Artificial intelligence and machine learning, including neuro-symbolic reasoning and learning-enabled multi-agent systems
  • Control theory, nonlinear and intelligent systems
  • Autonomous systems and robotics
  • Cyber-physical systems, embedded and networked systems, design automation
  • Signal processing and sensing
  • AI and physical AI for scientific discovery

  Quantum materials and emergent phenomena

  • Quantum and topological materials for quantum technologies
  • Superconductivity and emergent phenomena
  • Two-dimensional materials for electronics and sensing
  • Light-driven materials and devices
  • Quantum biology and adaptive matter

  AI, optimisation and control applied to societal-scale systems

  • Intelligent transportation and mobility systems
  • Traffic modelling, optimisation and routing
  • Autonomous and connected transportation systems
  • Large-scale infrastructure and network control

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Further questions? Reach out at [email protected]

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