PhD Candidate in Complex Networks

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Job Description

PhD Candidate in Complex Networks

Job requisition Id: 16991

Job type: PhD positions

Parttime in hours minus: 38

Parttime in hours max: 38

Location: Leiden

EN Applying is possible up to and including: 24 November 2026

Apply now

The Mathematical Institute (MI) of Leiden University and the Leiden Institute of Advanced Computer Science (LIACS) are looking for a PhD Candidate in Complex Networks to commence at the earliest possible date and no later than April 2027.

The project investigates how structural properties observed in complex networks can be understood and modeled using mathematically tractable network models. The research will combine theoretical modeling with computational and data-driven investigation of real-world networks, with a particular emphasis on understanding how features such as spatial structure, clustering, heterogeneity, and connectivity shape network behavior.

Possible research directions include, but are not limited to, network science, spatial network modeling, random graph models, and data-driven methods for network analysis. We welcome candidates with an interest in real-world network data as well as in developing and analyzing mathematical models of complex networks. The precise balance between theoretical, computational, and data-driven work will depend on the candidate’s background and interests.

The position will be co-supervised by dr. Moritz Otto (MI) and dr. Akrati Saxena (LIACS). Michel Mandjes (MI) will act as promotor. Academic excellence is the main selection criterion.

What you will do

Conducting complex networks research at the intersection of mathematics and computer science.

Writing a publication-based PhD thesis.

Engaging in a limited number of teaching and supervision activities.

Where you will work

The PhD candidate will be employed at the Mathematical Institute and also be affiliated with the Leiden Institute of Advanced Computer Science and AI (LIACS). In particular, the candidate will become part of the Leiden AlFa (Algorithmic Fairness: https://alfa.liacs.nl) group and the Probability research group, and collaborate closely with the Network Science group.

Both the research groups and the institutes are highly international and feature a mix of disciplinary and cultural backgrounds. There are plenty of additional opportunities for other types of interaction and collaboration, for example, at the Faculty of Science through the Leiden Complex Networks Network (LCN2) and nationally through the Dutch Network Science Society.

The Mathematical Institute focuses on four key research themes: Algebra, Geometry, and Number Theory; Analysis and Dynamical Systems; Probability; and Statistics and Data Science. There is extensive collaboration between these themes. For more information about the Mathematical Institute, see https://www.universiteitleiden.nl/en/science/mathematics.

LIACS is one of the leading computer science departments in the Netherlands. We strive for excellence in a supportive institute where academic achievement, enjoyment, and diversity go hand in hand. For more information about LIACS, visit our website: http://www.cs.leiden.edu

What you bring

A university degree* in mathematics, computer science or a closely related field.

Knowledge in an area of research related to network science/complex networks, e.g., graph theory, probability, random graphs, complex systems, or topological data analysis.

Programming experience, preferably in Python, and willingness to develop strong computational skills (please mention your level of proficiency and knowledge of other programming languages in your CV).

Strong motivation for academic research.

Good English communication skills.

The ability to work independently and in a team.

You live and are officially registered as resident in The Netherlands or are willing to relocate upon starting the position.

*Candidates who expect to complete their Master’s degree by early spring 2027 are also encouraged to apply.

What we offer

We offer a full-time position for initially one year. After a positive evaluation of the progress of the thesis, personal capabilities and compatibility, the appointment will be extended by a further three years.

A salary starting from € 3.204,= to € 4.051,= gross per month, based on a full-time appointment (38 hours, Payscale P)

A holiday allowance (8%), an end-of-year bonus (8,3%), and an attractive pension scheme at ABP;

Full reimbursement of public transport commuting costs for home-to-work travel;

Flexible working hours: as a standard, you are entitled to a minimum of 29 leave days on the basis of a full-time working week of 38 hours;

Within our terms of employment individual choices model, you can exchange leave days and/or salary for benefits such as an advantageous sports subscription and bicycle scheme;

If your work allows it, hybrid working is possible within the Netherlands;

A home-working allowance (day and internet allowance) and attention for good workplaces. The University will also provide you with a laptop and a mobile telephone.

For more information about employment conditions, see https://www.universiteitleiden.nl/en/working-at/job-application-procedure-and-employment-conditions

What we value

Promoting an inclusive community is central to Leiden University’s values and vision. We strive to be an open community in which all students and staff members feel valued and respected, and are able to fully develop themselves. We consider an inclusive academic environment, where students and staff can share their experiences and viewpoints, to be essential for the development of talent.

Want to apply or find out more?

Only applications received via the university’s application tool by 24 November 2026 can be considered.

Please send us

Your CV and full academic transcripts (bachelor’s and master’s)

A short cover letter of at most 2 pages detailing your motivation to apply for the position

A recent writing example (paper or thesis) that you are proud of and that reflects your academic writing skills

Names and contact details of at least one person who has agreed to be contacted for an academic reference (there is no need to send letters)

In case of doubt or questions about the suitability of your research interest for this position, feel very welcome to reach out to dr. Moritz Otto () or dr. Akrati Saxena (), before formally applying.

If you have any questions about the application procedure, please contact .

Interviews are expected to take place from 1 December 2026.

Apply now

Information at a Glance

Faculty / Unit: The Faculty of Science

Contact with (Name + position): Moritz Otto

Contact Email address:

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