Associate Professor — Computational Politics & Data Science

Collabdemy; Oslo fylke; On-site; NOK 710,000 - 880,000; Full time

Benefits offered by this job

International working environment

Friendly and inclusive workplace

Excellent pension scheme

Job summary

University of Oslo invites applications for an Associate Professor in Political Science with a focus on computational methods. The successful candidate will teach both methods and substantive courses, supervise students at BA, MA and PhD levels, and collaborate with colleagues in related departments to build a shared portfolio of computational courses.

The role requires leadership in research, teaching excellence, and engagement with the department’s research community.

Qualifications

• PhD in political science or computational social science with publications
• Substantial expertise in computational methods including data collection
• Apply network analysis, ML, NLP or LLMs to political questions
• Proficient in R and data-intensive methods
• Strong teaching record and mentoring potential
• Track record of collaborations and external funding is valued

Responsibilities

• Teach research methods and substantive political science courses
• Supervise BA, MA and PhD students
• Contribute to development of educational portfolio
• Collaborate with Department of Sociology and Human Geography
• Engage in administrative responsibilities and outreach

Skills

Computational methods

Network analysis

Machine learning

Natural language processing

Large language models

R programming

Data-intensive techniques

Education

PhD in political science

Computational social science

Related discipline

Tools

R

Job description

University of Oslo invites applications for an Associate Professor in Political Science with a focus on computational methods. The successful candidate will teach both methods and substantive courses, supervise students at BA, MA and PhD levels, and collaborate with colleagues in related departments to build a shared portfolio of computational courses.

The role requires leadership in research, teaching excellence, and engagement with the department’s research community.