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Research Scientist
at Flare
15 days ago | 81 views | 5 applications

Research Scientist


About the company

Grants Program The Flare Ecosystem Support Program provides both financial and non-financial support to projects and entities within the Flare Network community, in order to accelerate the growth of the ecosystem. We will be awarding FLR and SGB denominated grants each quarter, across a variety of categories such as builder tools, projects and infrastructure supporting Flare Network’s growth. Grants are awarded after an internal application and evaluation process. Builders can also attend our weekly Developer Q&A session each Wednesday @ 15:00 UTC on Discord for project feedback, advice and general Flare-focused engineering questions.

Job Summary

Key responsibilities

📍Design consensus and other decentralised algorithms, including theoretical work involving proofs of results, 📍Evaluate and implement algorithms, use of simulations for benchmarking, 📍Some data analysis, e.g. statistics and data visualisations, 📍Write reports on outcomes, 📍Potential for submissions to peer-reviewed journals, 📍Build out relationships with academia and industry, 📍Potential for work in quantum algorithms if interested. 📍Note that the role will involve primarily theoretical analytical work and proofs, with simulations for validation and experiments. This role is similar to a postdoc, with a focus on novel research results and publications.

Skills and qualifications required

📍A first-class undergraduate degree in mathematics, computer science or physics, with a strong mathematical background (emphasis on probability, Markov processes, graph theory, algorithms, statistics) from a leading university (e.g. Cambridge, Oxford, Ivy League, French Ecole etc.) or PhD in mathematics or theoretical physics or computer science, with a strong track record of theoretical publications, 📍Passion for proving analytic results and thinking conceptually, 📍Ability to pick up and learn new content and tools as required, 📍Ability to rapidly code up simulations in Python or a similar language, to scrape data from online resources, and perform data analysis, 📍Interest and/or track record in cryptography and computational complexity.

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