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Linköping University

Just Landed

PhD Position in Cybersecurity for Decentralized Energy Systems Linköping University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral employment with salary regulated by a local salary scale; standard PhD employment at Linköping University for four years full-time, extendable up to five years with teaching and departmental duties.

Deadline

Nov 30, 2026

Country flag

Country

Sweden

University

Linköping University

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Keywords

Computer Science
Electrical Engineering
Information Technology
Smart Grid Technology
Artificial Intelligence
Cybersecurity
Federated Learning
Anomaly Detection
Intrusion Detection
Decision Support System
Cyber-physical System
ML

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About this position

This PhD position at Linköping University is based in the Cybersecurity (CYBER) division within the Department of Computer and Information Science. The project addresses the security of decentralized, digitalized critical infrastructure, especially electric power systems with many remotely controlled distributed energy resources such as solar panels, batteries, and electric vehicle chargers.

The research goal is to develop trustworthy AI-supported methods that help critical infrastructure assess risk and consequences, detect possible attacks, reason about appropriate countermeasures, and keep operating safely. The doctoral work is framed around three interconnected directions: threat modeling and attack-path analysis for critical infrastructure; AI-supported, robust, privacy-preserving intrusion and anomaly detection for distributed and cyber-physical systems; and cyber resilience with decision support that converts security insights into indicators and actions that operators can use.

The student will work in national and European research projects together with academic and industrial partners, collaborate closely with researchers and engineers in Sweden and across Europe, and carry out research visits with partner organizations. The environment emphasizes research on verification, trustworthy AI, and AI-based cybersecurity, with opportunities to publish in leading venues in security and energy systems.

During the four-year doctorate, the student will shape their own research questions within the outlined themes. The position is research-focused, with possible teaching and other departmental duties up to 20 percent of full time.

Funding details

Doctoral employment with salary regulated by a local salary scale; standard PhD employment at Linköping University for four years full-time, extendable up to five years with teaching and departmental duties.

What's required

Applicants must have a master's degree in computer science, computer engineering, electrical engineering, or a closely related field, or equivalent preparation through at least 240 higher education credits with at least 60 at advanced level in computer science, computer engineering, or electrical engineering. Required are good knowledge of cybersecurity, knowledge of or experience with machine learning such as anomaly detection, programming skills such as Python, and very good spoken and written English. Meritorious experience includes research experience such as an advanced thesis or publications, intrusion detection or network security monitoring, basic electrical engineering, power systems or smart grids, large language models and agentic AI, threat modeling, attack graphs or MITRE ATT&CK, and privacy-preserving, federated, explainable and trustworthy machine learning. The candidate should be scientifically curious, work independently, and collaborate well in teams and with international academic and industrial partners.

How to apply

Apply via the application button and submit your application to Linköping University by 30 November 2026. Applications received after the deadline will not be considered.

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