Two open PhD positions in Network Science / Social Network Analysis & Fairness
The group currently has two open PhD positions.
The first position (deadline: September 1, 2024) is with Frank Takes and Eelke Heemskerk at the University of Amsterdam and deals with Population-scale Networks. It is part of the newly set up inter-university Platform for Large-scale Analysis of NETworks Netherlands (PLANET-NL) computational social science initiative:
https://www.universiteitleiden.nl/en/vacancies/2024/q3/15028phd-candidate-in-network-science
The second position (deadline: September 8, 2024) is with Akrati Saxena and Frank Takes on Fairness in Social Network Analysis:
Both positions are described in more detail below.
Position 1: PhD Candidate in Network Science
Leiden University’s computer science department (LIACS) is seeking an enthusiastic and well-qualified PhD candidate in network science, a field also referred to as complex networks or social network analysis. The position is for 4 years and is fully funded. The candidate will be a member of the Computational Network Science (CNS) group in Leiden, and part of the Platform for Large-scale Analysis of Networks Netherlands (PLANET-NL) interdisciplinary group of researchers in both computer science and social science, which will meet regularly as part of the broader consortium project. One particular object of study of this group, and thus possibly also for the candidate, is the multi-layer population-scale social network data of the Netherlands, featuring twelve years of longitudinal network data on all seventeen million inhabitants of the Netherlands and their family, work, school, neighbor and household ties (see, e.g., https://www.popnet.io).
The position is part of SSHOC-NL, a five-year national consortium project on advancing methods and infrastructure in, among others, the social sciences. Within SSHOC-NL Leiden University and University of Amsterdam jointly lead the work on large-scale social network analysis, which is the focus of this PhD position.
While the position offers a certain degree of freedom in terms of the precise research direction, as part of the broader consortium project, the candidate will be asked to work on community detection in large-scale dynamic networks, and how this is affected by aggregation of the network. This ties into a broader objective of the consortium in which the aim is to understand how privacy-sensitive population-scale (network) data, possibly at an aggregated level, can be made accessible and interoperable.
Deadline: September 1, 2024
More information: https://www.universiteitleiden.nl/vacatures/2024/q3/15028-phd-candidate-in-network-science
Position 2: PhD Candidate in Algorithmic Fairness in Social Network Analysis
Are you a passionate and committed young researcher well versed in social network analysis, complex networks or network science? Would you like to be involved in frontier research on algorithmic fairness, biases, and inequalities in large-scale social network analysis in an inspiring academic environment? Effective immediately, at Leiden University, we are seeking a PhD student in Algorithmic Fairness in Social Network Analysis. The candidate will work on analyzing fairness and biases in network-based algorithms, develop fairness-aware algorithms, and design intervention methods to promote fairness in networks.
Deadline: September 8, 2024
More information: https://www.universiteitleiden.nl/vacatures/2024/q3/15074-phd-candidate-in-algorithmic-fairness-in-social-network-analysis