Teaser Text
About this position. In this 4-year fully funded PhD 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 fast algorithms and careful tailoring of commonly used network measures and algorithms.
One particular challenge for the candidate applying for this position, is to develop novel measures of structural (in)equivalence in social networks for obtaining an interpretable understanding of how social network structure differs between different subgroups of a population. Moreover, when applied to two entirely different populations, these methods of comparing network structure should facilitate cross-country comparative analyses of population-scale social network structure, enabling an understanding of similarities and differences in the social fabric of countries.
In addition to the above, there is also space for the candidate to pursue a direction of research related to network science that fits both the candidate and the broader aims of the group.
Embedding. The PhD candidate 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 and MSc student (co-) supervision, small teaching assistance tasks, and potentially minor roles in scientific organizational activities.
What you will do
- Conducting research in the area of network science;
- Writing an article-based PhD thesis;
- 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 and MSc 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 MSc* in computer science or a related field (e.g., mathematics, physics or computational social science), showing affinity with network science (or complex networks / social network analysis);
- Good writing skills, demonstrated through a writing sample (typically the MSc thesis) to be submitted with the application;
- Good proficiency of the English language, demonstrated by the ability to have a near fluent in-person conversation in English;
- Curious and open-minded attitude to successfully collaborate across disciplines, preferably with an interest in translating insights from computer science to the social sciences, and vice versa;
- Experience with programming in Python, or otherwise in R and/or C++;
- Able to work independently and in a team;
- An academic, creative and curious mindset.
*: excellent candidates not (yet) past the MSc phase, but with graduation in early Spring 2027 well 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 thesis, personal capabilities and compatibility, the appointment will be extended by a further three years This contract falls under the CLA of Dutch Universities;
- A salary between € 3.204,= and € 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; 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?
Applications
You can apply online via the blue button in the vacancy.
Ensure that you attach the following additional documents with your application:
- A short cover letter of at most 1 page, detailing your motivation to apply for this position;
- An academic CV;
- A recent writing example (typically the MSc thesis) that you are proud of and reflects your academic writing skills;
- Names and contact details of at least two people that can be contacted for reference (they should only have agreed to be contacted; there is no need to send letters).
Promising applicants may be contacted for exploratory conversations before the closing date. Application( letter)s written solely using AI, for example reflected through mere hollow sentences, will not be considered.
The earliest possible starting date is January 1, 2027. For candidates who require a VISA, this date may shift by the duration of the VISA application procedure applicable to their country of origin.