PhD in Post-Quantum ZKPs for Trustworthy AI in Sheffield

PhD in Post-Quantum ZKPs for Trustworthy AI in Sheffield

Sheffield Full-Time 25000 - 25000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Research post-quantum cryptography and develop zero-knowledge proofs for trustworthy AI.
  • Company: The University of Sheffield, a leading institution in computer science.
  • Benefits: Fully funded PhD with a tax-free stipend of £25,000 and covered tuition fees.
  • Other info: Collaborate with DSTL and gain invaluable research experience over 3.5 years.
  • Why this job: Join a cutting-edge research project that shapes the future of AI security.
  • Qualifications: Strong mathematical skills and programming experience in Python required.

The predicted salary is between 25000 - 25000 £ per year.

The University of Sheffield's School of Computer Science invites applications for a fully funded Ph D studentship in collaboration with DSTL, at the intersection of post-quantum cryptography, zero-knowledge proofs, and trustworthy AI.

The studentship offers a tax-free stipend of about £25,000 per year and covers UK home tuition fees for 3.5 years.

Applicants should have a strong mathematical background and programming experience (Python).

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PhD in Post-Quantum ZKPs for Trustworthy AI in Sheffield employer: Aisafety

As a nonprofit startup dedicated to advancing AI safety and biosecurity, we pride ourselves on fostering a collaborative and innovative work culture in our San Francisco office. Employees benefit from competitive salaries, professional development opportunities, and the chance to make a meaningful impact in a rapidly evolving field. Join us to be part of a mission-driven team that values creativity, inclusivity, and growth.

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Contact Details:

Aisafety Recruitment Team

We think you need these skills to ace PhD in Post-Quantum ZKPs for Trustworthy AI in Sheffield

Mathematical Background
Programming Experience
Python
Post-Quantum Cryptography
Zero-Knowledge Proofs
Trustworthy AI
Analytical Skills