PhD in Population-Scale Network Science & Social Analytics

Leiden University via AcademicTransfer; Netherlands; Hybrid; EUR 36,000 - 45,000; Full time

Benefits offered by this job

Holiday allowance

End-of-year bonus

ABP pension scheme

Public transport reimbursement

Leave entitlement 29 days per year

Hybrid-friendly working

Home-working allowance

Laptop provided

Job summary

Leiden University’s Leiden Institute of Advanced Computer Science (LIACS) invites applications for a fully funded 4-year PhD position focused on network science. You will analyze longitudinal social network data from the Dutch population, develop novel measures of structural equivalence, and enable cross-country comparative analyses within PLANET-NL.

You will be embedded in LIACS, engage with PLANET-NL and the Leiden Network Science group, supervise student projects, and contribute to

Qualifications

• MSc in computer science or related field.
• Strong writing ability; submit MSc thesis sample.
• Good English language proficiency.
• Interest in cross-disciplinary collaboration (CS and social science).
• Experience with programming in Python, R, or C++.
• Ability to work independently and in a team.
• Academic, creative and curious mindset.

Responsibilities

• Conduct research in network science.
• Write an article-based PhD thesis.
• Engage in PLANET-NL inter-university collaboration.
• Be part of the Leiden Network Science group.
• Co-supervise BSc and MSc students on data science topics.
• Participate in minor scientific organizational activities.

Skills

MSc in CS or related field

Excellent writing skills

English proficiency

Curious/open-minded

Independent and team player

Academic mindset

Education

MSc in Computer Science or related field

Tools

Python

R

C++

Job description

Leiden University’s Leiden Institute of Advanced Computer Science (LIACS) invites applications for a fully funded 4-year PhD position focused on network science. You will analyze longitudinal social network data from the Dutch population, develop novel measures of structural equivalence, and enable cross-country comparative analyses within PLANET-NL.

You will be embedded in LIACS, engage with PLANET-NL and the Leiden Network Science group, supervise student projects, and contribute to