Fully Funded PhD Scholarship - Individual patterns evolution of social media interactions

This PhD project investigates short-term collective attention in online cultural and social systems, developing quantitative models to understand early exposure, attention bursts, and popularity trajectories. Research involves large-scale datasets (social media, music consumption) and integrates metadata where available. The position is funded by Sony CSL – Paris and hosted at NU London, offering interdisciplinary collaboration and access to unique datasets. Candidates will join an experienced supervisory team from NU London, Sony CSL – Paris, and University of Kent.

MSc (or equivalent) in Complex Systems, Networks, Data Science, Computational Social Science, Natural Language Models, Physics, Mathematics, Computer Science, or related subjects
Proficiency in programming (Python, SQL, Julia)
Experience with software/libraries (Pandas, scikit-learn, Spark, Git)
Fluency in English
Collaborative, interdisciplinary, analytical mindset
Willingness to learn data visualisation techniques and vectorial image design

Send CV and Covering Letter via the official portal. Reference application ‘R139005’. Contact supervisor for informal enquiries: riccardo.diclemente@nulondon.ac.uk