Senior Applied Mathematician / Researcher (Background in Probabilistic Modeling)
Nomos | Remote
Classification: Probability and Statistics
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
Last updated: 4 February 2025