Publisher
source

HÃ¥vard Hegre

10 months ago

Postdoctoral/Senior Researcher in Conflict Forecasting and Machine Learning at Peace Research Institute Oslo Peace Research Institute Oslo in Norway

Degree Level

Postdoc

Field of study

Computer Science

Funding

The position is a 1.5-year, full-time temporary contract funded by the ERC Advanced Grant. Salary is based on qualifications and experience. Additional benefits include membership in the Norwegian Public Service Pension Fund, subsidized canteen, social events, and a supportive work environment. The position is based in Oslo, Norway, and requires on-site presence.

Deadline

Expired

Country flag

Country

Norway

University

Peace Research Institute Oslo

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Keywords

Computer Science
Machine Learning
Political Science
Time Series Analysis
Social Science
Probabilistic Forecasting
Statistics
Statistical Modelling

About this position

The Peace Research Institute Oslo (PRIO) is seeking applications for a Senior Researcher or Postdoctoral Researcher to join the ANTICIPATE ERC Grant project, focusing on forecasting armed conflict and its impacts on human development. The successful candidate will work in a leading international research institution with a strong interdisciplinary environment, developing advanced machine learning models and forecasting systems. The project is led by Research Professor HÃ¥vard Hegre, a recognized expert in conflict prediction and statistical modeling.

Key responsibilities include developing new forecasting models and methods, leading the design and improvement of ensemble routines and validation protocols in the VIEWS forecasting system, publishing research in top peer-reviewed journals, collaborating with developers and social science researchers, supervising junior researchers, and engaging with academic and policy communities. The position requires a PhD in a relevant field (such as political science, statistics, computer science, informatics, or economics), strong programming skills in Python, experience with ML/statistics libraries, a proven research track record, and excellent English communication skills. Desirable qualifications include experience with time series and probabilistic forecasting, Bayesian approaches, handling large or unstructured data, and text-as-data methods.

The position is a 1.5-year, full-time temporary contract funded by the ERC Advanced Grant, with salary based on qualifications and experience. PRIO offers a supportive work environment, membership in the Norwegian Public Service Pension Fund, a subsidized canteen, social events, and is located in central Oslo, Norway. On-site presence is required. PRIO values diversity and is an equal-opportunity employer.

To apply, candidates must submit an application letter, up to three academic writing samples, a CV with publications and GitHub link, transcripts, and contact details for three references via PRIO’s online form by 15 January 2026. For more information, contact Research Professor HÃ¥vard Hegre at [email protected] or visit the PRIO website.

Relevant academic keywords include conflict forecasting, machine learning, statistical modeling, social sciences, human development, ensemble methods, Bayesian approaches, time series analysis, probabilistic forecasting, and text-as-data. The position is ideal for researchers interested in advancing the methodological foundations of conflict prediction and contributing to impactful interdisciplinary research.

Funding details

The position is a 1.5-year, full-time temporary contract funded by the ERC Advanced Grant. Salary is based on qualifications and experience. Additional benefits include membership in the Norwegian Public Service Pension Fund, subsidized canteen, social events, and a supportive work environment. The position is based in Oslo, Norway, and requires on-site presence.

What's required

Applicants must hold a PhD in a relevant field such as political science, statistics, computer science, informatics, economics, or a related discipline, with demonstrated expertise in forecasting, statistical modeling, and/or machine learning. Required skills include substantial experience with Python and relevant ML/statistics libraries, a track record of independent research and peer-reviewed publications, collaborative research experience, proficiency with version control systems, and excellent English communication skills. Desirable qualifications include experience with time series, tempo-spatial, or probabilistic forecasting, ensemble methods, Bayesian approaches, handling large or unstructured data, text-as-data methods, and working with large-scale machine learning pipelines.

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Professors

Research Professor

University Name
Country flag

Norway

Research Interests

International Security

Geopolitics

Situational Awareness

Threat Intelligence

Counterterrorism