PhD Position in Data Science and Systems Science at Stockholm University Stockholm University in Sweden

Stockholm University’s Department of Data and Systems Science (DSV) is inviting applications for a fully funded PhD position in Data & Systems Science, with a strong focus on data science, machine learning, and large-scale multimodal data analysis. The research will address extracting insights from complex, large-scale, heterogeneous data, with a special emphasis on temporal and time-dependent data such as longitudinal, behavioral, interaction, and event-based datasets. The project will also focus on machine learning for structured, semi-structured, and unstructured data, with critical applications in healthcare and other societal domains.

The PhD student will join a dynamic, international research environment, collaborating across disciplines and benefiting from strong academic development support, including funding for books, learning resources, conference travel, and professional development opportunities. The department is a vibrant academic community with over 200 staff and 4,500 students, offering a stimulating research environment and extensive national and international research networks.

Eligibility: Applicants must hold a Master’s degree (or equivalent) with at least 60 ECTS at the advanced level and have completed a Master’s thesis (minimum 15 ECTS). English proficiency at B2 level or higher is required. A background in data science, data systems, machine learning, or related fields is necessary. Selection criteria include analytical independence, research design, ability to meet deadlines, scientific maturity, communication and collaboration skills, and methodological competence. Swedish language skills are a merit but not required.

Funding: The position is fully funded for up to 4 years, with a fixed monthly salary. Additional support is provided for books, conferences, and professional development. The position is full-time and may include up to 20% teaching or research support duties. Stockholm University is committed to equal opportunity and an inclusive work environment.

Application: Apply via Stockholm University’s recruitment system by submitting a motivation letter, CV, and required documents before 15 April 2026. For more information, contact Tony Lindgren ([email protected]), Ioanna Miliou ([email protected]), or Åsa Smedberg ([email protected]).

This is an excellent opportunity to contribute to cutting-edge research in data science and help shape the future of data-driven societies at one of Europe’s leading research environments.