Zero Knowledge (ZK) Jobs

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Job Position Company Posted Location Salary Tags

Kronos Research

Hong Kong, Hong Kong

$27k - $90k

RISC Zero, Inc

Remote

$165k - $200k

Polygon Labs

Remote

$72k - $110k

Polygon Labs

Europe

$74k - $80k

Polygon Labs

APAC

$72k - $77k

Matter Labs

EU

$72k - $84k

Polygon Labs

Auckland, New Zealand

$91k - $107k

Polygon Labs

APAC

$74k - $92k

Matter Labs

Dublin, Ireland

$81k - $95k

Figment

Toronto, Canada

$90k - $135k

Polygon Labs

India

$75k - $77k

OKX

Hong Kong, Hong Kong

$72k - $148k

Matter Labs

EU

$90k - $120k

Magic Square

Lima, Peru

$90k - $100k

Polygon Labs

Singapore, Singapore

$45k - $63k

PhD Quant Internship Program

Kronos Research
$27k - $90k estimated

This job is closed

* This role requires one to be located in Hongkong and available to work full-time during both semester and summer/winter vacation*

Job Description

Kronos is on a quest to bring together the brightest PhD students who are passionate about decentralized market-making. As an intern, you will embark on a minimum 2-month journey, delving into the world of cutting-edge research, guided by our accomplished Senior Quantitative Researchers. Your focus will be on pioneering new approaches within the dynamic realm of decentralized finance.

Some areas of research our team is currently looking into:

  • Zero-knowledge proofs and applications
  • Proposer-builder separation applications
  • MEV applications such as MEV-Boost, MEV-Share
  • Cross-chain liquidity
  • Order flow auctions

Requirements

  • You are a current PhD student or a recent PhD graduate in a quantitative subject (e.g. Statistics, Finance, Financial Engineering, Applied Mathematics, Computer Science)
  • You are committed – we require applicants to be based in HongKong and commit a minimum period of 2 months(may extend mostly based on performance) toward this internship programme.
  • You possess a strong interest in DeFi protocols - and good knowledge of blockchain basics.
  • You are a quant at heart – you look at everything from a quantitative and analytical lens, utilizing back-testing and simulation as your go-to.
  • You are a coder – you possess strong programming skills in either Python, JavaScript/TypeScript, Golang and/or Solidity. Having knowledge of EVM Assembly is a plus!
  • You are a research scientist – you possess exceptional problem solving and critical thinking skills.
  • You are results driven – you are decisive and prioritize achieving overall results

What is Zero-knowledge?

Zero-knowledge is a concept in cryptography that allows two parties to exchange information without revealing any additional information beyond what is necessary to prove a particular fact

In other words, zero-knowledge is a way of proving something without actually revealing any details about the proof

Here are some examples of zero-knowledge:

  1. Password authentication: When you enter your password to log into an online account, the server doesn't actually know your password. Instead, it checks to see if the hash of your password matches the stored hash in its database. This is a form of zero-knowledge because the server doesn't know your actual password, just the hash that proves you know the correct password.
  2. Sudoku puzzles: Suppose you want to prove to someone that you've solved a particularly difficult Sudoku puzzle. You could do this by providing them with the completed puzzle, but that would reveal how you solved it. Instead, you could use a zero-knowledge proof where you demonstrate that you know the solution without actually revealing the solution itself.
  3. Bitcoin transactions: In a Bitcoin transaction, you prove that you have ownership of a certain amount of Bitcoin without revealing your private key. This is done using a zero-knowledge proof called a Schnorr signature, which allows you to prove ownership of a specific transaction output without revealing the private key associated with that output.
  4. Secure messaging: In a secure messaging app, you can prove to your contacts that you have access to a shared secret without revealing the secret itself. This is done using a zero-knowledge proof, which allows you to prove that you have access to the secret without actually revealing what the secret is.