Publisher
source

Qiongxiu Li

11 months ago

PhD Position in Trustworthy AI and Cybersecurity at Aalborg University Aalborg University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

The position is a fully funded PhD stipend for a period of 3 years, with salary and terms of employment in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state. The stipend covers salary and employment benefits as per Danish university standards.

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Machine Learning
Electrical Engineering
Information Technology
Cybersecurity
Natural Language Processing
Cryptography
Trustworthy Computing
Federated Learning
Privacy-preserving Techniques
Adversarial Attack

About this position

Aalborg University's AI:SECURITY Lab is recruiting a PhD fellow to join a dynamic research team focused on advanced trustworthy AI and its application to cybersecurity. The position is based in Copenhagen and is part of the AI:X initiative, which aims to advance AI research and foster interdisciplinary collaboration. The successful candidate will work on developing methods to ensure the privacy, security, and robustness of AI systems, with research topics including adversarial attacks and defenses, privacy-preserving AI (such as federated learning and differential privacy), cryptographic approaches for data privacy, and deepfake detection. The lab is a collaboration between the Department of Electronic Systems and the Department of Computer Science at Aalborg University, and is expected to grow significantly in the coming year. Applicants should have a strong background in information engineering, computer science, cybersecurity, or related fields, and possess strong programming skills. The position is fully funded for three years, with salary and benefits according to Danish standards. The application deadline is November 10, 2025. To apply, candidates must submit a motivation letter, CV, diplomas, a project description, and other relevant documents via the university's recruitment system. For more information, candidates can contact Assistant Professor Qiongxiu Li or Professor Johannes Bjerva. The lab offers a vibrant, international research environment and opportunities to contribute to high-impact research in AI security and privacy.

Funding details

The position is a fully funded PhD stipend for a period of 3 years, with salary and terms of employment in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state. The stipend covers salary and employment benefits as per Danish university standards.

What's required

Applicants must hold a Master's degree in information engineering, computer science, cybersecurity, software engineering, or a related field. Strong programming skills (e.g., Python) are required. Candidates should be highly motivated to conduct research in AI and cybersecurity, possess excellent written and verbal communication skills in English, and be able to work both independently and collaboratively in interdisciplinary teams. A background in cybersecurity, machine learning, AI, or large language models (LLM) is advantageous but not mandatory. Enrollment as a PhD student at the Technical Doctoral School of IT and Design is required.

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Professors

Assistant Professor

University Name
Country flag

Denmark

Research Interests

Cybersecurity

Information Technology

Natural Language Processing

Computer Science

Electrical Engineering

Professor

University Name
Country flag

Denmark

Research Interests

Computational Linguistics

Psycholinguistics

Computer Science

Natural Language Processing

Information Technology