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Our vision is to make Sweden a role model in secure trustworthy AI by pioneering cyber resilience across the AI lifecycle.

The AIICS division is part of the Department of Computer and Information Science. The division's main focus is research and teaching in artificial intelligence, its theoretical foundations and its applications.

Many pediatric cancer care survivors develop serious cardiovascular complications later in life. The emerging field of computational cardio-oncology leverages advanced data methods to better predict and prevent these complications.

Drönare förändrar hur vi utforskar, övervakar och samverkar – i luften, på land och under vattenytan. Forskningen inom drönare och drönarsvärmar är ett tvärvetenskapligt och snabbt växande område.

TrustLLM is a European project coordinated by Linköping University. The project will develop a language model for European languages including Swedish and is to benefit citizens and industry alike.

The AI Academy Partnership Program at Linköping University will support companies and organisations in developing the skills needed to use AI effectively. The first partner in this new form of collaboration is Länsförsäkringar Östgöta.

Linköping University each year awards a scholarship of SEK 10,000 to the best degree project or master’s thesis in statistics and machine learning completed during the year.  The final date for nominations is August 20, 2025.

RESIST is recruiting seven PhD students and two postdocs to strengthen Sweden’s position in secure and trustworthy AI. The positions are part of the national center for cyber resilient AI.

LiU will host a new national centre aimed at developing resilient AI systems. The funding of SEK 60 million comes from the Swedish Foundation for Strategic Research and its director will be LiU Professor Fredrik Heintz.

LiU researchers Jendrik Seipp and Zheng Chen have been appointed as new Wallenberg Academy Fellows. The funding gives promising researchers the opportunity to tackle challenging research questions that require a long-term approach.