International Association
for Cryptologic Research

Secure Computation Technologies, such as Multiparty Computation, allow the purposeful processing of private data (distilling value from such data), without compromising the privacy of this data. Today’s interconnected world, smart applications, and global business, necessitating the use of collaborative analytics, require the collection and processing of private information. In this PhD trajectory you will be exploring ways and developing protocols and primitives that enhance the security, functionality, and efficiency of secure computation technologies (e.g., multiparty computation – MPC), when designed for particular application scenarios, such as private machine learning use-cases.

In this 4-year PhD trajectory, you are expected to:

Conduct original and novel research in the field of Secure Computation Technologies;

Design novel protocols for privacy-preserving (machine learning) applications;

Publish and present scientific articles at international journals and conferences;

Engage in collaborations in academia and industry;

Assist in relevant teaching activities.

The position is fully funded for 4 years.

Closing date for applications:

Contact: Eleftheria Makri

More information: https://www.universiteitleiden.nl/en/vacancies/2025/q2/15751-phd-candidate-secure-computation-technologies-and-applications-to-machine-learning