International Association for Cryptologic Research

International Association
for Cryptologic Research

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PhD/Postdoc Positions in Privacy Enhancing Technologies
University of Tübingen, Department of Computer Science; Tübingen, Germany
Medical Data Privacy and Privacy-Preserving ML on Healthcare Data (MDPPML) group at the University of Tübingen is looking for motivated Ph.D. students and Postdocs in the area of Privacy Enhancing Technologies.

Research Topics: Development and analysis of cryptography-based privacy-preserving solutions for real-world healthcare problems. Topics of interest include (but are not limited to): privacy-preserving machine learning, genomic privacy, medical privacy as well as foundations for real-world cryptography.

Your profile:
  • Completed Master's degree (or equivalent) at a top university with excellent grades in computer science, or a similar area.
  • Extensive knowledge in applied cryptography/security and machine learning.
  • Very good software development skills.
  • Knowledge of cryptographic protocols (ideally MPC).
  • Knowledge of bioinformatics or genomics is plus.
  • Self-motivated, reliable, creative, can work independently and want to do excellent research.
Contact: Dr. Mete Akgün (mete.akguen@uni-tuebingen.de)
Last updated: 2022-01-14 posted on 2022-01-13