Are you a passionate and committed young researcher well versed in social network analysis, complex networks or network science? Would you like to be involved in frontier research on algorithmic fairness, biases, and inequalities in large-scale social network analysis in an inspiring academic environment? Effective immediately, at Leiden University, we are seeking a PhD student in Algorithmic Fairness in Social Network Analysis. The candidate will work on analyzing fairness and biases in network-based algorithms, develop fairness-aware algorithms, and design intervention methods to promote fairness in networks.

Qualifications 

An excellent young scientist with a MSc degree or equivalent in computer science, data science, computational social science, statistics, physics, mathematics, or a related field. You have a keen interest in algorithms, well-developed skillset in (scientific) programming, and an affinity with network analysis in particular. You are able to work with very large data and have the creativity and curiosity to develop new network algorithms and measures. The ideal candidate has a critical, open-minded, and collaborative spirit; is creative, precise, and does not shy back from entering new scholarly terrain at the cutting edge of network science and machine learning.