Together with the AIOps team, you will define a research question, place it in a relevant academic and technical context, and design a suitable methodology for investigation
The ambition is to create work that is both academically solid and practically valuable
Depending on the chosen scope, the work may include data analysis, model development, system design, experimentation, or comparative evaluation of alternative approaches
Requirements
Curious, analytical, and structured in your way of working
Interested in AI, data-driven analysis, and operational improvement
It is a plus if you have experience with AI/ML, cloud-native systems, or Git-based workflows
Tech Stack
Cloud
Benefits
An opportunity to produce academically meaningful work while contributing insights that can support SEB’s continued technology transformation
Close collaboration with experienced engineers and practitioners in an environment that values curiosity, learning, and knowledge sharing
A chance to work on real operational challenges in a modern, data-rich, and business-critical environment