Senior Applied Mathematician / Researcher (Background in Probabilistic Modeling)

Logos is a movement focused on advancing the decentralized web, with technologies aimed at establishing a more open internet to support the growth of network states. The Logos stack encompasses protocols designed to empower users while upholding civil liberties and essential freedoms.

About Nomos

Nomos is a novel blockchain built with the core principles of decentralization, censorship resistance, permissionless-ness, and privacy. It is set to function as the trustless agreements layer within the Logos stack, providing a foundational infrastructure for communities and network states to create social, governance, and financial services that align with their members' rights and values.

Responsibilities

• Develop and enhance mathematical models of intricate systems using probabilistic frameworks, particularly in the realm of blockchain technologies.
• Utilize advanced probability and statistics techniques to address real-world issues within distributed or networked environments.
• Interpret engineering requirements and transform them into mathematical models for thorough analysis.
• Collaborate with diverse teams to translate theoretical concepts into practical solutions with commercial viability.
• Lead applied research initiatives by combining academic rigor with industry-focused outcomes.

Preferred Qualifications

• Solid expertise in applied mathematics, specifically in complex systems and stochastic processes.
• Demonstrated experience in employing advanced mathematical tools to address large-scale real-world challenges.
• Effective collaboration and communication skills, capable of clearly articulating complex ideas in both written and verbal formats.
• Background or keen interest in blockchain, cryptography, distributed systems, or networks.

Bonus Requirements

• Exposure to blockchain concepts and decentralized technologies.
• Knowledge of cryptography and contributions to open-source projects.
• Advanced degree (PhD or MsC with significant research background) in Mathematics, Theoretical Computer Science, or related disciplines, along with relevant commercial experience.

Hiring Process

1. Initial interview with People Ops
2. Technical interview conducted by a team member
3. Further interview with the team
4. Concluding interview with Nomos Lead

Please note that the interview stages may be subject to change based on the evolving needs of the evaluation process.

Compensation

The expected salary range for this position is flexible and will be determined based on the assessment of your skills and experience throughout the interviewing process. Payment can be made in a combination of fiat and cryptocurrency as per mutual agreement.