PhD in Secure, Privacy-Preserving Collaborative LMs

Aalborg Universitet; København; On-site; DKK 312,000 - 357,000; Full time

Job summary

Aalborg University invites applications for a PhD stipend in Secure and Privacy-Preserving Collaborative Language Models within the Department of Electronic Systems. The role focuses on developing secure, privacy-protecting frameworks for distributed language model training and inference, with a strong emphasis on responsible AI and cryptographic protection techniques.

The successful candidate will join a collaborative team and contribute to cutting-edge research in AI security, privacy, and

Qualifications

• Master's degree required as per the PhD stipend policy.
• Excellent written and verbal communication in English.
• Ability to work independently and in interdisciplinary teams.
• Prior background in privacy-preserving ML or cryptographic protocols is advantageous but not required.

Responsibilities

• Conduct research on secure and privacy-preserving collaborative language models.
• Develop frameworks enabling collaboration without exposing proprietary data or model parameters.
• Explore privacy-preserving training, secure aggregation, and cryptographic protections.
• Validate research through real-world use cases such as cross-organizational knowledge sharing.

Skills

Motivation for AI security

English communication

Independence & teamwork

Background in privacy-preserving ML

Education

Master's degree in information engineering, computer science, cybersecurity, software engineering

Job description

Aalborg University invites applications for a PhD stipend in Secure and Privacy-Preserving Collaborative Language Models within the Department of Electronic Systems. The role focuses on developing secure, privacy-protecting frameworks for distributed language model training and inference, with a strong emphasis on responsible AI and cryptographic protection techniques.

The successful candidate will join a collaborative team and contribute to cutting-edge research in AI security, privacy, and