PhD in Population-Scale Network Science — Research & Data

Leiden University

Leiden

Hybride

EUR 36 000 - 45 000

Plein temps

14 jours+

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Un CV et une lettre de motivation personnalisés, prêts à envoyer.

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Avantages offerts par ce poste

Holiday allowance 8%
End-of-year bonus 8.3%
ABP pension scheme
Public transport reimbursement
Laptop provided

Résumé du poste

Leiden University invites applications for a PhD position in network science. You will conduct research on the area of network science and write an article-based thesis, contributing to PLANET-NL and Leiden Network Science groups.

You will co-supervise BSc/MSc students, collaborate across disciplines, and translate insights between computer science and social sciences. A MSc in CS or a related field and strong English writing are required.

Qualifications

  • MSc in computer science or a related field, demonstrating affinity with network science (or complex networks / social network analysis).
  • Good writing skills evidenced by a writing sample (e.g. MSc thesis).
  • Proficient English, capable of near-fluent in-person conversation.
  • Curious, open-minded, and collaborative across disciplines with interest in translating CS insights to social sciences.

Responsabilités

  • Conduct research in the area of network science.
  • Write an article-based PhD thesis.
  • Engage in collaborative research as a member of PLANET-NL inter-university research group.
  • Be a member of and engage with the Leiden Network Science research group.
  • Co-supervise BSc and MSc students on data science and network science topics.

Connaissances

Strong writing
Interdisciplinary collaboration
English proficiency
Independent and team work

Formation

MSc in Computer Science or related field

Outils

Python
R
C++

Description du poste

Leiden University invites applications for a PhD position in network science. You will conduct research on the area of network science and write an article-based thesis, contributing to PLANET-NL and Leiden Network Science groups.

You will co-supervise BSc/MSc students, collaborate across disciplines, and translate insights between computer science and social sciences. A MSc in CS or a related field and strong English writing are required.

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