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BI Norwegian Business School

BI doctoral scholarship

PhD in Data and Decision Sciences at BI Norwegian Business School BI Norwegian Business School in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time four-year doctoral scholarship paid according to the Norwegian State Salary Scale, currently NOK 623,200 annually (to be adjusted in 2027). The position includes 25% teaching obligation and is linked to the Norwegian Public Service Pension Fund.

Deadline

Dec 1, 2026

Country flag

Country

Norway

University

BI Norwegian Business School

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Keywords

Computer Science
Data Science
Decision Science
Information Technology
Mathematics
Finance
Operations Research
Business
Management
Business Analytics
Economics
Statistics
ML

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About this position

BI Norwegian Business School is inviting applications for a PhD in Data and Decision Sciences affiliated with the Department of Data Science and Analytics in Oslo, Norway. This is a four-year, full-time doctoral scholarship with a strong quantitative and applied business analytics focus.

The position is embedded in a vibrant research environment with close links to industry and the public sector. The department’s research interests span data science, operations research, machine learning, computer science, statistics, economics, finance, mathematics, and related areas. PhD candidates will benefit from weekly research seminars, workshops, international visitors, and collaboration opportunities through AMOR and SURE-AI (Center for Sustainable, Risk-Averse and Ethical AI).

Funding: The scholarship follows the Norwegian State Salary Scale and currently pays NOK 623,200 per year, with a 25% teaching obligation. The position is linked to the Norwegian Public Service Pension Fund.

Eligibility highlights: Applicants should have a relevant MSc with thesis work, a Research Masters/M.Phil, or an equivalent degree by the start date in early autumn 2027, with a GPA of B or higher. An MBA does not meet the admission requirement. The school seeks candidates with strong analytical and programming skills and a genuine interest in fundamental research in applied business areas. GRE/GMAT is strongly encouraged or required depending on degree origin, and TOEFL/IELTS is required unless an exemption or waiver applies.

Application: Submit the application electronically through the vacancy page. Required documents include CV, recommendation letters, statement of purpose, selected academic work, degree certificates, transcripts, test scores, and the signed verification document. Recommendation letters must be emailed to [email protected] by the deadline.

Deadline: 2026-12-01. Start date: 2027-08-16.

Funding details

Full-time four-year doctoral scholarship paid according to the Norwegian State Salary Scale, currently NOK 623,200 annually (to be adjusted in 2027). The position includes 25% teaching obligation and is linked to the Norwegian Public Service Pension Fund.

What's required

Applicants must have completed a Master of Science degree with thesis work, a Research Masters/M.Phil degree, or a comparable relevant degree by the start of the program in early autumn 2027, with a GPA of B or higher. An MBA does not qualify. Applicants should have solid quantitative skills and a strong background in statistics, operations research, machine learning, computer science, finance, economics, or mathematics, plus genuine interest in fundamental research in applied business areas. Strong programming, communication, and analytical skills are important. GRE or GMAT is strongly encouraged for EU/EEA master’s holders and required for non-EU/EEA master’s holders. TOEFL or IELTS is required unless exempt by native English, prior English-taught higher education, or certain EU/EEA/Council of Europe/UNESCO-Cepes schooling conditions; a waiver may be requested under certain circumstances.

How to apply

Apply electronically via the 'Send Application' button on the vacancy page. Upload CV, recommendation letters, statement of purpose, selected academic work, degree certificates, transcripts, test scores, and the signed verification document. Recommendation letters should be emailed to [email protected] by the deadline.

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