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Institutes & Chairs (F-class): please complete the job title (will be published in the advert)


Vacancy details

General information

Reference

2023-1116  

Position description

Job title for the advert

Institutes & Chairs (F-class): please complete the job title (will be published in the advert)

Core and main tasks

We are looking for a bright and motivated PhD student to work in the topics of information security and cryptography. The student is expected to work on topics that include security and privacy issues in biometric authentication. More precisely, the student will be working on investigating efficient and privacy-preserving authentication that provides: i) provable security, and ii) rigorous privacy guarantees. 

Key Responsibilities:

  • Perform exciting and challenging research in the domain of information security and cryptography.
  • Support and assist in teaching computer security and cryptography courses.

Expected skills / profile

• The PhD student is expected to have a MSc degree or equivalent, and strong background in cryptography, network security and mathematics;
• Experience in one or more domains such as cryptography, design of protocols, secure multi-party computation and differential privacy is beneficial;
• Excellent programming skills;
• Excellent written and verbal communication skills in English

Presentation of the organisational unit (in the advert)

The research group for Cyber Security, https://cybersecurity.unisg.ch/, is a part of the Institute of Computer Science (ICS) at the University of St. Gallen. The group was established in autumn semester 2020 and is led by Prof. Dr. Katerina Mitrokotsa. Our research interests are centered around information security and applied cryptography, with the larger goal of safeguarding communications and providing strong privacy guarantees. We are currently active in multiple areas including the design of provably secure cryptographic protocols and cryptographic primitives that can be employed for reliable authentication, outsourcing computations in cloud-assisted settings, network security problems as well as secure and privacy-preserving machine learning. As a doctoral student you will be a part of the Doctoral School of Computer Science (DCS), https://dcs.unisg.ch.

 

Please apply by 31st March 2022.

Employment rate in % (given as a total figure)

70

Desired date of entry

01/10/2022

Duration of assignment

permanent

Handled by

Primary contact

Katerina Mitrokotsa