PhD position at RU/TU Delft

August 10, 2018

Joint Ph.D. position in the area of physical attacks and machine learning Prof. Lejla Batina, at Radboud University, Nijmegen, The Netherlands Assistant prof. Stjepan Picek, at TU Delft, The Netherlands

We are hiring a PhD student to carry out research and the development of novel machine learning-based techniques and countermeasures dedicated to side-channel and fault analysis. This will involve implementing state-of-the-art techniques from machine learning as well as developing new approaches. In addition, the project provides an opportunity to work with our industrial partners to evaluate the developed techniques on real-world systems.

This is a joint position between TU Delft and Radboud University where the successful candidate will obtain a Ph.D. from TU Delft. The candidate is expected to divide his/her time equally between the two universities but commuting is possible.

A suitable candidate is an enthusiastic, team player with a strong background and interest in one of the following areas:

  • - machine learning

  • - information security

  • - cryptography

Candidates with a good theoretical background in related areas are also encouraged to apply. The employment is full-time (40 hrs/week) and the salary is internationally competitive. In the Netherlands, being a PhD student is an actual job with build-up for pension etc. Moreover, there are tax exemption rules to make it financially attractive for foreign students to come to the Netherlands.


Applications should include a curriculum vitae and a motivation letter. Applications and informal inquiries should be sent to Stjepan Picek ( and Lejla Batina (


Our groups:

The Digital Security (DiS) group, is one of the leading academic groups in computer security. The research topics of the group range from cryptography and security of embedded systems, to digital privacy and identity. For more details see

The Cyber Security group of TU Delft carries out research on diverse domains of security and cryptography. We are also very active in the area of machine learning. TU Delft is consistently ranked as one of the best engineering universities in the world.