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Frank Takes

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2 days ago

PhD Candidate in Population-Scale Network Science Leiden University in Netherlands

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded 4-year PhD position; salary between €3,204 and €4,051 gross per month based on a full-time 38-hour appointment, plus holiday allowance (8%), end-of-year bonus (8.3%), pension scheme, public transport reimbursement, and other employment benefits.

Deadline

Nov 12, 2026

Country flag

Country

Netherlands

University

Leiden University

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Keywords

Computer Science
Data Science
Sociology
Mathematics
Network Analysis
Computational Social Science
Statistics

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About this position

This PhD project at Leiden University focuses on population-scale network science and the analysis of longitudinal social network data from the Dutch population, sourced from Statistics Netherlands. The student will work on developing new approaches for fast, scalable analysis of very large networks, with particular attention to the methodological challenges posed by temporal data and population-level structure.

A central aim of the project is to create novel measures of structural (in)equivalence in social networks so that differences in network structure across subgroups can be interpreted clearly. The methods developed here are also intended to support cross-country comparisons, helping to identify similarities and differences in the social fabric of different populations.

The position is based at the Leiden Institute of Advanced Computer Science (LIACS), the computer science and AI institute of the Faculty of Science at Leiden University. The successful candidate will join the interdisciplinary PLANET-NL initiative and the Leiden Network Science group, with additional opportunities for interaction through the Leiden Complex Networks Network and the Dutch Network Science Society.

The role combines independent research with collaborative work in a highly international environment. The PhD candidate will contribute to an article-based thesis, engage with interdisciplinary research across computer science and the social sciences, and take part in limited supervision and teaching-related activities while being embedded in a supportive and diverse research setting.

Funding details

Fully funded 4-year PhD position; salary between €3,204 and €4,051 gross per month based on a full-time 38-hour appointment, plus holiday allowance (8%), end-of-year bonus (8.3%), pension scheme, public transport reimbursement, and other employment benefits.

What's required

Applicants should have an MSc in computer science or a related field such as mathematics, physics, or computational social science, with affinity for network science, complex networks, or social network analysis. Strong writing skills are required, demonstrated by a writing sample such as the MSc thesis. Candidates must have good English proficiency, including the ability to hold a near-fluent in-person conversation. The role prefers a curious, open-minded, and collaborative attitude, ideally with an interest in translating insights between computer science and the social sciences. Experience with Python is preferred, or alternatively R and/or C++; applicants should be able to work independently and in a team. Excellent candidates who have not yet completed the MSc but are on track to graduate in early spring 2027 may also apply.

How to apply

Apply through the application button on the AcademicTransfer webpage. Attach a short cover letter, academic CV, a recent writing example, and the names and contact details of at least two referees. If you need more information about the position, contact Prof. Dr. Frank Takes; for procedure questions, email [email protected].

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Professors

Prof. Dr. at Leiden University

University Name
Country flag

Netherlands

Research Interests

Statistics

Social Psychology

Network Analysis

Data Science

Computer Science