Matteo Magnani

This postdoctoral project focuses on computational modeling and simulation of spreading processes in population-scale multilayer social networks . The work is hosted at Uppsala University , within the Department of Information Technology and the interdisciplinary Information Laboratory (InfoLab) , where research combines basic and applied approaches to extracting knowledge from social data. The project is part of the eSSENCE graduate school in data-intensive science , linking methodological development in computational science and data science with applications in data-driven research. It also sits within collaboration between eSSENCE research programmes in Data Science and Intelligent Decision Making and Applied Scientific Computing and High-Performance Computing , bringing together expertise across computational science, data engineering, and application-oriented research. Research in the project addresses how spreading occurs across large social networks when interactions are shaped by social structure and when processes move across multiple network layers. The postdoc will develop computational methods for simulating and inferring spreading in very large multilayer social systems, apply models to a network covering the Swedish adult population, and derive effective equation-based models that help study quantities that are hard to obtain through direct simulation alone. The topic spans network science, social data analysis, scalable simulation, and the study of population-level diffusion phenomena such as the spread of diseases, opinions, information, and behaviors. The environment is explicitly interdisciplinary and connected to broader e-science and social-data research at Uppsala University.

Postdoctoral position in computational social science at Uppsala University , Department of Information Technology / InfoLab. This postdoc is part of the EU HORIZON project FEMVision – Fighting Everyday Misogyny in Visual Online Cultures , focused on studying and combating everyday misogyny in visual online spaces. The work sits at the intersection of computer science , computational social science , machine learning , AI , social media analysis , and computational image analysis . The successful candidate will lead development of a classifier for online visual misogyny, apply it to social media data for empirical mapping, and develop a chatbot that adds a conversational layer to the classifier. The role also includes work on data donation, curated dataset construction, data access/collection/availability, testing the classifier, analyzing online reactions, and integrating the tools with other project activities. The position is based at the Information Laboratory (InfoLab), an interdisciplinary research group working on extraction of knowledge from social data. The broader consortium includes partners across Europe, and the postdoc will collaborate with IT-Universitetet i København and Fondazione Giangiacomo Feltrinelli. Eligibility highlights: PhD in computer science, computational social science, or a related discipline (or equivalent foreign degree); degree must be completed by the employment decision. Priority is given to candidates who earned the degree within the last three years, though exceptions may apply. Strong programming skills, excellent linguistic competence, and experience with social data and AI/ML methods are required. Employment details: temporary full-time position for 3 years; 80% research and 20% teaching/other duties; starting date 1 October 2026 or as agreed; placement in Uppsala. Application deadline: 15 July 2026. How to apply: submit the application through Uppsala University’s recruitment system, answer the application questions instead of a cover letter, and include a CV and publication list.