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.