Teaser Text

About this postdoc. In this postdoc position, the focus is on devising new network science approaches for analyzing longitudinal, population-scale social network data on the Dutch population data, sourced from Statistics Netherlands. Such data presents distinctive methodological challenges: their scale and temporal character require new metrics, fast algorithms, and careful tailoring of commonly used network measures and algorithms. The aim is to advance our understanding of how social network structures change over time due to social and demographic dynamics and how this evolution relates to broader societal phenomena. The postdoc will help bridge methodological advances in network science with substantive social science questions applied to unique population-scale data.
Within this broad scope of topics, there is ample space for the postdoc to pursue a direction that fits both the candidate and the broader aims of the group. 

About the underlying funding and project. Macroscope is a national research infrastructure funded by the Dutch Science Foundation (NWO) to study complex societal dynamics at an unprecedented scale. Building on existing infrastructures from, e.g., ODISSEI, the project centers around the analysis of population-scale datasets with advanced computational tools. By bringing together data, models, and computing resources, Macroscope aims to make it possible to analyse large-scale social processes across time and across multiple types of data. The postdoc position is specifically about developing graph analytical methods for analyzing population-scale social networks.

Embedding. The postdoc will be employed at the Leiden Institute of Advanced Computer Science (LIACS), which is the computer science and AI institute of the Faculty of Science of Leiden University. More in particular, the candidate will become part of 1) the interdisciplinary inter-university PLANET-NL initiative, which is a collaboration of the University of Amsterdam and Leiden University rooted in computational social science and network science, and 2) the Leiden Network Science group.
Both the research groups and the institute are highly international and feature a mix of disciplinal 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 candidate will be asked to engage in (limited) BSc, MSc and PhD student (co-) supervision on topics related to data science and network science, as well as minor roles in scientific organizational activities.

What you will do

• Conducting research in the area of network science;
• Producing high-quality publications based on the research conducted within the project;
• Engaging in collaborative research as a member of the PLANET-NL inter-university research group;
• Membership of and engagement with the Leiden Network Science research group;
• Co-supervising BSc, MSc and PhD students on topics related to data science and network science;
• Engaging in minor scientific organizational organizing activities.

Where you will work

What you bring

• A PhD* in computer science or a related field (e.g., mathematics, physics or computational social science), with a track record in network science (or complex networks / social network analysis);
• Excellent writing skills and proficiency of the English language, demonstrated through published first author papers in respected and relevant conference proceedings or journals;
• Affinity with bridging methodological advances in network science with substantive social science questions applied to unique population-scale data;
• Interdisciplinary mindset to successfully collaborate across disciplines; 
• Experience with programming in Python, or otherwise in R and/or C++;
• Able to work independently, in a team, and in a student (co-)supervisory role;
• An academic, creative and curious mindset.

*: excellent candidates not (yet) past the PhD phase, but with graduation in early Spring 2027 in sight, are also invited to apply.

What we offer

• An employment contract for the duration of initially one year. After a positive evaluation of the progress of the research, personal capabilities and compatibility, the appointment will be extended by a further two years. This contract falls under the CLA of Dutch Universities;
• A salary between € 3.706,= and € 5.760,= gross per month, based on a full-time appointment (38 hours, Payscale 10) 
• 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; you can also save for extra leave, for example by working 40 hours a week, and in this way accrue an extra 96 leave hours, or exchange 96 leave hours for a 36-hour week.
• Lots of options when it comes to secondary employment conditions; we can, for example, discuss options for a sabbatical or paid parental leave. 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.

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?