PhD in AI:SECURITY lab - Advanced trustworthy AI and its application to cybersecurity

Your work tasks

AI:SECURITY lab is seeking a highly motivated PhD researcher to join our team focusing on advanced trustworthy AI and its application to cybersecurity. This research will explore methods to ensure the privacy, security, and robustness of AI systems, with a focus on designing AI models that are not only effective but also trustworthy in sensitive environments, such as healthcare, finance, and cybersecurity.

The successful candidate will focus on addressing critical challenges at the intersection of AI and cybersecurity, aiming to enhance model integrity, data privacy, and resilience to adversarial attacks. The research will explore methods to secure AI systems in real-world applications, ensuring they remain robust against cyber threats and privacy violations.

Possible research topics can be, but are not limited to:

• Adversarial Attacks and Defenses: Developing advanced techniques to protect AI systems from cybersecurity threats like attacks (e.g., poisoning, evasion) that manipulate model performance.
• Privacy-Preserving AI: Designing techniques like federated learning and differential privacy to ensure AI models can process sensitive data without exposing private information.
• Cryptographic Approaches: Exploring the use of cryptography (e.g., homomorphic encryption, secure multi-party computation) to safeguard data privacy and model security during training and deployment.
• Deepfake detection: Develop advanced approaches to secure AI-driven media verification systems and prevent the misuse of synthetic data.

Your competencies

We are looking for an ambitious and curious PhD candidate who is excited about exploring new ideas at the intersection of AI and cybersecurity. You do not need to meet every criterion, but you should preferably feel inspired by most of the following:

• Master's degree in information Engineering, computer science, cybersecurity, software engineering, or related fields
• Strong programming skills (e.g., Python)
• Strong motivation to contribute to cutting-edge research in AI and cybersecurity.
• Excellent written and verbal communication skills in English.
• The ability to work independently and collaboratively within interdisciplinary teams.
• Background in cybersecurity, machine learning, AI, or large language models (LLM) is advantageous but not a requirement.

Qualification requirements

PhD stipends are allocated to individuals who hold a Master's degree. PhD stipends are normally for a period of 3 years. It is a prerequisite for allocation of the stipend that the candidate will be enrolled as a PhD student at the Technical Doctoral School of IT and Design in accordance with the regulations of Ministerial Order No. 1039 of August 27, 2013 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions. According to the Ministerial Order, the progress of the PhD student shall be assessed at regular points in time.

How to apply

Your application must include the following:

• Application, stating reasons for applying and qualifications in relation to the position
• Curriculum Vitae (CV)
• Diplomas (bachelor and master's degree diploma)
• Project description (maximum 2 pages)
• Other relevant documents

The application must be submitted via Aalborg University’s recruitment system, which can be accessed under the job advertisement on Aalborg University's website.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore, everyone, regardless of personal background and orientation, is encouraged to apply for the position.

Do you have any questions?

If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.

We expect to conduct interviews late November or early December.