PhD in Secure, Privacy-Preserving Collaborative LMs

The Technical Faculty of IT and Design, Department of Electronic Systems, Communication, Media and I; København; On-site; DKK 357,000 - 469,000; Full time

Job summary

Aalborg University’s The Technical Faculty of IT and Design, Department of Electronic Systems, Communication, Media and Information technologies invites applications for a PhD stipend in secure machine learning within Electronic and Electrical Engineering; as of November 1, 2026, or as soon as possible thereafter.

The PhD candidate will join the cybersecurity group and collaborate with the AI:SECURITY LAB to study privacy-preserving collaborative language models and secure multi-party

Qualifications

• Master's degree in information engineering, computer science, cybersecurity or related fields.
• Excellent written and verbal communication in English.

Responsibilities

• PhD research in secure machine learning for collaborative language models.
• Collaborate with cybersecurity group and AI:SECURITY LAB.
• Develop frameworks protecting data confidentiality in distributed training and inference.

Skills

English proficiency

Independent work

Team collaboration

Education

Master's degree

Job description

Aalborg University’s The Technical Faculty of IT and Design, Department of Electronic Systems, Communication, Media and Information technologies invites applications for a PhD stipend in secure machine learning within Electronic and Electrical Engineering; as of November 1, 2026, or as soon as possible thereafter.

The PhD candidate will join the cybersecurity group and collaborate with the AI:SECURITY LAB to study privacy-preserving collaborative language models and secure multi-party