Using insights from Cybersecurity to improve systematic security in NLP models. The candidate should have an MSc. in Machine Learning, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred.

Stipend 2:Safety alignment in NLP models.
Using Cybersecurity expertise to guarantee consistency and robustness in model behavior. The candidate should have an MSc. in Machine Learning, Computer Science, Software, Natural Language Processing, or a closely related area. Candidates with strong backgrounds in NLP are preferred.

Stipend 3:Provable security in networked systems
Designing secure and privacy-preserving AI in distributed environments, with strong emphasis on provable security guarantees. Topics include federated learning, secure computation, and robust optimization under adversarial threats. The candidate should have an MSc. in Machine Learning, Computer Science, Software, Cybersecurity, or a closely related area. Candidates with strong backgrounds in cybersecurity and machine learning are preferred. 

Stipend 4: Autonomous Cyber Defense
Developing AI-driven systems for autonomous cyber defense, combining techniques from reinforcement learning, LLMs, and multi-agent systems. The candidate should have an MSc. in Machine Learning, Computer Science, Software, Cybersecurity, or a closely related area. Candidates with strong backgrounds in cybersecurity and machine learning are preferred.

You may obtain further information concerning the scientific aspects of the stipends for project 1 and 2 from Professor Johannes Bjerva, Department of Computer Science, email: jbjerva@cs.aau.dk and for project 3 and 4 from Tenure-Track Assistant Professor Qiongxiu Li, Department of Electronic Systems, email: qili@es.aau.dk

Please clearly indicate at the top of your application which of the stipends you are applying for. 

The application must contain the following:

Letter of motivation that includes (max 1 page):

• Your motivation for pursuing a PhD
• Your experience and interest in conducting research
• Your experience and interest in studying AI and work

Project proposal (max. 2 pages):

• Describe how you plan to go about the project.

Curriculum vitae (max. 2 pages)

Diplomas confirming academic degrees (master’s degree), including academic transcripts

We expect to conduct interviews between 19-30 May and inform candidates of the outcome shortly thereafter.

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 relevant Doctoral School 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.

The assessment of candidates for the position will be carried out by qualified experts.
Shortlisting will be applied. This means that after the application deadline, the head of the department, with the assistance of the hiring committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not.
When the hiring process is completed, a final rejection will be sent to the applicants who are not considered for the position.

For further information about stipends and salary as well as practical issues concerning the application procedure contact Ms. Lisbeth Diinhoff, The Doctoral School at The Technical Faculty of IT and Design, email: ld@adm.aau.dk, phone: +45 9940 9589.

For more information of The Technical Doctoral School of IT and Design: www.phd.tech.aau.dk

The application is only to be submitted online by using the "Apply online" button below.

AAU wishes to reflect the diversity of society and welcomes applications from all qualified candidates regardless of personal background or belief.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity of the workplace.