Senior Applied Mathematician / Researcher (Consensus Protocols)

Logos is a movement supporting the development of the decentralised web. Logos technologies lay the foundations for a freer internet upon which communities can evolve into network states. Each protocol in the Logos stack seeks to empower its users while upholding civil liberties and fundamental freedoms.

About Nomos

Nomos is a new blockchain designed from the ground up with the original cypherpunk ethos: decentralization, censorship resistance, permissionless-ness and privacy. It will serve as the trustless agreements layer of the Logos stack. The forthcoming Nomos network will provide a common infrastructure layer upon which communities and aspiring network states can build social, governance, and financial services that uphold their community members’ fundamental rights and values.

Key Responsibilities

• Develop and analyze advanced algorithms for complex systems, focusing on privacy, efficiency and scalability.
• Understand engineering requirements and translate them into mathematical models for their analysis.
• Formalize and prove properties of protocols and algorithms currently in development by our team.
• Collaborate closely with cross-functional teams, translating theoretical constructs into commercially viable solutions.
• Lead the applied research efforts, bridging academic rigor with practical, industry-focused outcomes.

Ideally, you will have

• Strong background in computer science or applied mathematics: advanced analysis of algorithms, complex systems and/or stochastic processes.
• Proven track record of using advanced mathematical tools to tackle real-world problems.
• Strong collaboration and communication skills, with the ability to convey complex ideas clearly both in written and verbal form.
• Experience with or strong interest in blockchain, cryptography, distributed systems or networks.

Bonus points

• Exposure to blockchain concepts or decentralized technologies.
• Familiarity with cryptography and open-source contributions.
• Familiarity with differential privacy analysis.
• Advanced degree (PhD or MsC with significant research experience) in Mathematics, Theoretical Computer Science, or a related field—paired with commercial experience

Hiring process

1. Interview with People Ops
2. Technical interview with a team member
3. Additional team interview
4. Final interview with Nomos Lead

The steps may change along the way if we see it makes sense to adapt the interview stages, so please consider the above as a guideline. 

Compensation

The expected compensation range for this role is negotiable, dependent on how we assess your skills and experience throughout our interview process. We are happy to pay in any mix of fiat/crypto.