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Leiden Computational Network Science

Network science research group at Leiden University

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Job opening: PhD Candidate in AI for Network Analysis

May 27, 2025 network science

Are you eager to contribute to cutting-edge research at the intersection of AI and network science/social network analysis in a vibrant academic environment? Leiden University invites applications for a PhD position in AI for Network Analysis, starting as early as September 1, 2025.

We are looking for a motivated and talented early-career researcher with a strong interest in social network analysis, complex networks, or network science, and relevant background knowledge on methods in machine learning and AI. The successful candidate will focus on innovating the field of network analysis with AI methods. Examples of topics include algorithmic fairness in network analysis, developing network embedding frameworks for real-world network datasets or AI models based on agentic LLMs for simulating real-world network data. The candidate is furthermore encouraged to propose their own research direction related to AI methods for advancing network analysis.

We are looking for
An excellent young scientist with a master’s degree or equivalent in computer science, data science, AI, computational social science, or a related field. You have a keen interest in algorithms, ML, and AI, well-developed skill set 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 AI models for network analysis. 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 AI.

For more information, see the university webpage: https://www.universiteitleiden.nl/vacatures/2025-nl/q2/15718phd-candidate-in-ai-for-network-analysis

All applications run through the university job application portal.

Leiden Network Science group at Netsci 2025 in Maastricht

We will be present at Sunbelt 2025 in Paris

About the CNS Group

The Leiden Computational Network Science (CNS) group is a research group working on methods and algorithms for analyzing  real-world (social) network data. We develop techniques to unveil patterns in dynamic complex networks from a range of application domains, including online soclal networks, population-scale networks, scientific collaboration networks and economic networks. The CNS group is lead by Frank Takes and hosted at LIACS, the Department of Computer Science and AI of Leiden University.

 

 

Leiden Network Science Follow

News & updates about (computational) network science, complex networks and social network analysis; curated by @franktakes & Leiden group members

funwithnetworks
funwithnetworks Leiden Network Science @funwithnetworks ·
26 May

📢📢📢Join us for the Algorithmic Fairness in Network Science Satellite at @NetSci2025 on Tuesday 3 June. Details and schedule available at https://fairnetsci.github.io
#netsci #fairness

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saxena_akrati Akrati Saxena @saxena_akrati ·
24 Jan

🚨📢 Call for Abstracts! 📢🚨

Join us for the Algorithmic Fairness in Network Science Satellite at NetSci25

💡Submit your abstract and be part of this exciting conversation!

👉Details: https://fairnetsci.github.io/

📅 Deadline: February 7, 2025

#Callforabstract #netsci #fairness

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funwithnetworks Leiden Network Science @funwithnetworks ·
22 Oct

🔥🔥🔥
Great to see five @funwithnetworks collegues @bokanyie, @cerialbo, R. De Jong, E de Vink, and @yuliia_kazmina presenting their contributions at the @NetSciNL symposium last friday!

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funwithnetworks Leiden Network Science @funwithnetworks ·
9 Oct

🚨 New publication alert! 🚨
Excited to share our latest paper: "Sociopolitical evolution, population clustering, and technology among early sedentary communities in northeastern #Andes, #Colombia" by S. Fajardo and P. Argüello

Read it here 👇
🔗 https://www.sciencedirect.com/science/article/pii/S027841652400059X
#muisca

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