Join our research team at Linköping University as a PhD student in the exciting field of AI Security, focusing on 'Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses'. This position is part of a collaborative effort with Chalmers University of Technology and Recorded Future, addressing critical security risks in AI systems. The successful candidate will engage in cutting-edge research, contributing to the understanding and mitigation of memory poisoning attacks in large language model agents. This role requires a Master's degree in Computer Science, Electrical Engineering, or Applied Mathematics, along with strong programming and mathematical skills. Linköping University is recognized for its excellence in AI research, providing a dynamic environment for doctoral studies. The position is fully funded, with a competitive salary and benefits. Applications are due by January 12, 2026. We encourage candidates from diverse backgrounds to apply.

Linköping University invites applications for a PhD position in communication systems, focusing on the cutting-edge area of AI security. The research topic is 'Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses.' Large language model (LLM) agents are revolutionizing artificial intelligence by integrating LLMs with external tools and memory components, enabling complex reasoning and decision-making. These agents are increasingly used in critical domains such as healthcare, finance, cybersecurity, and autonomous vehicles, where they interact with external knowledge sources and retain memory across sessions. While LLM agents offer transformative benefits, they also face new and poorly understood security risks. Memory poisoning attacks, which exploit the agent’s ability to store and adapt knowledge, pose severe threats to reliability and security, potentially leading to biased decisions, manipulation, breaches, and system failures. The project aims to develop a theoretical foundation for understanding and mitigating these attacks, contributing to the forefront of AI security research. The position is funded by the Swedish Research Council (VR) and is based in the Division for Communication Systems (KS), Department of Electrical Engineering (ISY), Linköping University. The division conducts research and education in communications engineering, statistical signal processing, network science, and decentralized machine learning. The research team includes Asst. Prof. Khac-Hoang Ngo (Linköping University), Prof. Alexandre Graell i Amat (Chalmers University of Technology), and Dr. Johan Östman (Recorded Future), with opportunities for research visits to Chalmers and Recorded Future. The team currently consists of 5 PhD students and 2 postdocs. Linköping University is recognized as a leader in AI research, ranked 43rd globally and 12th in Europe, and has been awarded 'Student City of the Year' in Sweden three times. The PhD position is full-time for four years, with possible extensions based on teaching and departmental duties. Salary is determined by a locally negotiated progression, and employment benefits are provided. Applicants must have a Master’s degree in Computer Science, Electrical Engineering, or Applied Mathematics (minimum 240 credits, with at least 60 in advanced courses), or equivalent knowledge. Strong mathematical maturity, programming skills, and excellent English communication are required. Candidates should be independent, goal-oriented, and effective collaborators. The degree requirement must be met by the time the employment contract is signed. The starting date is by agreement, but no later than January 1, 2027. To apply, submit your application via the official job page by April 20, 2026. Late applications will not be considered. For questions, contact the department or request to connect with current PhD students. Linköping University values diversity and equal opportunities, and encourages applicants from varied backgrounds.

Linköping University invites applications for a fully funded PhD position in AI Security, focusing on the critical topic of “Memory Poisoning in LLM Agents: Foundations, Attacks, and Defenses.” This research addresses the emerging security risks in large language model (LLM) agents, which are increasingly deployed in high-impact domains such as healthcare, finance, cybersecurity, and autonomous vehicles. The project aims to develop theoretical foundations and practical defenses against memory poisoning attacks that threaten the reliability and security of LLM agents. The successful candidate will join the Division for Communication Systems (KS) at the Department of Electrical Engineering (ISY), working within a dynamic research team led by Assistant Professor Khac-Hoang Ngo (Linköping University) and Professor Erik G Larsson. The team collaborates with Chalmers University of Technology and Recorded Future, offering opportunities for research visits and interdisciplinary engagement. The division is renowned for its research in communications engineering, statistical signal processing, network science, and decentralized machine learning. This position is funded by the Swedish Research Council (VR) and offers a competitive salary determined by local agreements. The employment is full-time for four years, with possible extension up to five years depending on teaching and departmental duties. The starting date is flexible but must be no later than January 1, 2027. The university is recognized as a global leader in AI research and provides a vibrant academic environment, having been awarded “Student City of the Year” in Sweden three times. Eligibility: Applicants must hold a Master’s degree in Computer Science, Electrical Engineering, or Applied Mathematics (minimum 240 credits, with at least 60 credits in advanced courses in these fields), or possess equivalent knowledge. Strong mathematical maturity, programming skills, and excellent English communication abilities are required. Candidates should be independent, goal-oriented, and effective collaborators with strong problem-solving skills. The degree requirement must be fulfilled by the time of employment contract signing. Application: Apply online via the Linköping University vacancies portal by April 20, 2026. Applications received after this date will not be considered. For further information, contact Assistant Professor Khac-Hoang Ngo or Professor Erik G Larsson. Additional details about the division and research environment can be found on the university website. Linköping University values diversity and equal opportunities, welcoming applicants from all backgrounds. Background screening may be conducted before employment decisions are finalized.