Job description
About the Ethereum Foundation
The Ethereum Foundation (EF) is a global non-profit organization dedicated to supporting Ethereum and related technologies. Our mission is to do what is best for Ethereum’s long-term success. Our role is to allocate resources to critical projects, to be a valued voice within the Ethereum ecosystem, and to advocate for Ethereum to the outside world.
EF Internship
As part of our mission to advance blockchain systems, interns will contribute to bleeding edge research that spans computer science, distributed systems, crypto-economics, and mechanism design. This program offers a unique opportunity to work closely with Ethereum Foundation researchers, their collaborators, and other contributors across the ecosystem, tackling both foundational and applied research challenges. Interns will also have opportunities to share their findings through ethresear.ch, academic publications, or conference submissions helping shape the future of Ethereum.
Interns can choose to work remotely but are encouraged to work out of an EF office (likely Berlin, Germany). In addition, interns will be invited for an in-person cohort meetup in the summer.
The duration of the internship is 12 weeks during summer 2026.
Robust Incentives Group team description
The Robust Incentives Group (RIG) is a research team dedicated to the study of the Ethereum protocol through the lens of mechanism design. Our work maps all the ways that incentives directly or indirectly affect Ethereum participants. Where possible, we propose mechanisms to achieve incentive compatibility and system optimality.
While our research has an economic focus, our work is inherently interdisciplinary, drawing insights from economics, computer science, cryptography, and distributed systems. We work and collaborate across these fields to find ways to improve Ethereum. This includes both longer-term foundational research and more immediate proposals for Ethereum mainnet upgrades, with a bias towards the latter.
Check out our work at rig.ethereum.org!
More on the EF Protocol cluster: https://protocol.ethereum.foundation/
Skills
- Study in economics, distributed systems, cryptography, computer science, mathematics, or related fields
- Strong analytical ability: ability to work with mathematical models, probability, and logical reasoning (especially in game theory, mechanism design, or related areas)
- Research fundamentals: comfort reading academic papers, synthesizing insights, and framing research questions
- Distributed systems basics: understanding of consensus, blockchains, and decentralized networks
- Data analysis: ability to use statistical tools or libraries (e.g., NumPy, pandas, matplotlib)
Responsibilities
- Conduct original research in areas relevant to Ethereum and decentralized technologies.
- Collaborate with Ethereum Foundation researchers and contributors to address pressing technical and conceptual challenges.
- Contribute to public-facing materials, such as blog posts, white papers, and technical reports, to share research outcomes.
- Engage with the broader research community through discussions, seminars, and collaborations.
Qualifications
- Current university enrollment studying a relevant field such as computer science, cryptography, mathematics, or economics. Very recent graduates (~1 year) may also be considered.
- Demonstrated interest in Ethereum, blockchains, and decentralized technologies.
$8,000 - $8,000 a month
Important dates:
This application closes on Dec 1st, 2025. Applicants will receive decisions by January 30th, 2026.
Note on AI-assisted review:
The hiring team will use an AI-assisted tool to help us review resumes for this role. Here’s what that means:
- Your resume is anonymized before the AI review.
- We have been assured that your information will not be used to train AI models.
- Human reviewers make all final decisions. The AI tool does not reject or advance candidates automatically.
- The tool simply helps the hiring team manage a large volume of applications by highlighting potential fits.
If you’d like to know more about how the tool works, you can read the Talent Fit AI Brief.
