PostDoc R&D in ensuring data security

Updated: 3 months ago
Deadline: 01 Feb 2024

25 Nov 2023
Job Information

Delft University of Technology (TU Delft)
Research Field

Researcher Profile

Recognised Researcher (R2)

Application Deadline

1 Feb 2024 - 22:59 (UTC)
Type of Contract

Job Status

Not Applicable
Hours Per Week

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme
Is the Job related to staff position within a Research Infrastructure?


Offer Description

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy in the Internet. Examples include fighting cyber threats (e.g., ransomware, phishing, denial of service attacks, scanning for system vulnerabilities), identifying and mitigating network and Web vulnerabilities (e.g., unauthorized access, user tracking), and assessing the adoption of user data protection regulations (e.g., GDPR) in the wild. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US.

Our group conducts research in a range of cybersecurity topics, including, secure data analytics, applied cryptography, privacy, cloud security, system security, and network security. We aim to make the world a safer place as most of our activity and data move online. We design, develop, and evaluate interdisciplinary solutions that combine all fields of computer sciences: artificial intelligence, systems, and theory. Examples include the development of applied cryptography, deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large scale distributed denial of service attacks, and analysis of the latest security threats. We aim to publish our results at top conferences and journals, transfer our scientific know-how and technologies to students and our public and private partners in the field of cybersecurity, and have impact in society and the research community.

This position aims to design protocols and algorithms to ensure data security in pre-and-post quantum security and AI context, for providing fully transparent and accountable secure data sharing, storage and processing. You may explore one of the followings directions: traditional cryptographic tools and algorithms design, post-quantum secure protocols development and advancement, privacy-preserving protocols for AI, or practical data protection mechanisms. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our industrial collaborators in Europe/USA.

Specific Requirements

Applicants must have the following qualifications:

  • Phd degree in computer science, engineering, math or related.
  • Strong knowledge background in applied cryptography, post-quantum crypto, privacy-enhancing technologies.
  • Adequate knowledge in machine learning.
  • Ability to work collaboratively in a group/team.
  • Professional English communication and writing skills.

Additional Information

Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.

For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.

Selection process

Are you interested in this vacancy? Please apply before February 1, 2024,via the application button and upload your motivation letter (maximum 1 page) with a curriculum vitae (including thesis title, publications, and links to published work) and names for two references.

  • A pre-employment screening can be part of the selection procedure.
  • You can apply online. We will not process applications sent by email and/or post.
  • Please do not contact us for unsolicited services.

Additional comments

For more information about this vacancy, please contact Dr. Kaitai Liang .

Website for additional job details

Work Location(s)
Number of offers available
Delft University of Technology
Postal Code
2628 CD
Mekelweg 2

Where to apply



Mekelweg 2
Postal Code

2628 CD


Similar Positions