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Hoang K. Ngo

5 months ago

PhD in AI Security and Information-Theoretic Foundations of Memory Poisoning Linköping University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

PhD position funded by the Swedish Research Council (VR). Employment is normally four years full-time equivalent, with possible extension up to five years depending on teaching and departmental duties. Starting salary is around 36,400 SEK/month, with employee benefits including a pension.

Deadline

Expired

Country flag

Country

Sweden

University

Linköping University

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Keywords

Computer Science
Signal Processing
Electrical Engineering
Information Technology
Mathematics
Cybersecurity
Data Privacy
Optimisation
Statistics
Distributed System

About this position

Linköping University is advertising a PhD position in AI Security focused on the information-theoretic foundations of memory poisoning. The project studies how malicious information injected into an AI agent’s memory can affect reasoning and decision-making, with an emphasis on rigorous theory as well as proof-of-concept attacks, defenses, and experiments with LLM-based agents.

The position is based in the Division for Communication Systems at the Department of Electrical Engineering, Linköping University. The research team spans Linköping University, Chalmers University of Technology, and Recorded Future, and includes work in AI privacy and security, communication theory, statistical learning, and decentralized machine learning.

Research keywords: AI security, information theory, memory poisoning, LLM agents, privacy, statistical learning, communication theory, signal processing, optimization, applied probability and statistics, cybersecurity, distributed systems.

Eligibility: Applicants should have a Master’s degree in Computer Science, Electrical Engineering, or Applied Mathematics (or equivalent), with at least 240 credits and at least 60 advanced credits in the relevant subjects. Strong mathematical maturity, programming skills, and excellent English communication skills are required. Prior experience in AI security, privacy, or LLMs is helpful but not mandatory.

Funding: The position is funded by the Swedish Research Council (VR). The employment is normally four years full-time equivalent, with possible extension up to five years depending on teaching and departmental duties. The starting salary is around 36,400 SEK/month, with employee benefits including a pension.

Application deadline: 2026-06-22. Apply through the Linköping University vacancy page.

Funding details

PhD position funded by the Swedish Research Council (VR). Employment is normally four years full-time equivalent, with possible extension up to five years depending on teaching and departmental duties. Starting salary is around 36,400 SEK/month, with employee benefits including a pension.

What's required

Master’s degree in Computer Science, Electrical Engineering, or Applied Mathematics with at least 240 credits, including at least 60 credits in advanced courses in the relevant subjects, or equivalent knowledge. The degree requirement must be met by the time the employment decision is finalized. Applicants should have strong mathematical maturity, solid programming skills, and excellent English communication skills (oral and written). Ability to work independently, be goal-oriented, communicate clearly, and collaborate effectively is expected. Prior experience in AI security, privacy, or LLMs is beneficial but not required; backgrounds in information theory, communication theory, signal processing, optimization and learning, applied probability and statistics, cybersecurity, and distributed systems are especially welcome.

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University Name
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Sweden

Research Interests

Cybersecurity

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Electrical Engineering

Mathematics

Computer Science

Professor

University Name
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Sweden

Research Interests

Cybersecurity

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Computer Science

Electrical Engineering

Mathematics

Professor

University Name
Country flag

Sweden

Research Interests

Cybersecurity

Statistics

Signal Processing

Electrical Engineering

Mathematics