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University of Oslo

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PhD Research Fellow in Machine Learning and Statistics at the University of Oslo University of Oslo in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Three-year PhD fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% deducted for statutory pension contributions. The position includes a generous pension agreement, public benefits, welfare schemes, and research mobility funds.

Deadline

Oct 16, 2026

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Country

Norway

University

University of Oslo

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Keywords

Computer Science
Data Science
Information Technology
Deep Learning
Mathematics
Data Privacy
Engineering Ethics
Statistics
ML

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About this position

Integreat – Norwegian Centre for Knowledge-driven Machine Learning at the University of Oslo is inviting applications for a PhD Research Fellow in Machine Learning and Statistics. The project sits at the intersection of machine learning, statistics, and ethics, with a focus on developing private and fair synthetic data with good utility.

The research topic includes deep learning-based synthetic data generators, tailored model approximation, and new measures of privacy and fairness for evaluating or training synthetic data methods. The position is affiliated with the research group in Statistics and Data Science at the Department of Mathematics, in close collaboration with the machine learning group at the Department of Informatics.

This is a PhD opening in Oslo, Norway. The fellowship lasts three years, with a possible fourth year involving 25% other career-promoting work such as teaching, supervision, or research assistance. The salary range is NOK 550,800–595,000, and the role includes pension, welfare benefits, public health coverage, mentoring, career development support, and research mobility funds.

Eligibility highlights include a Master’s degree (or near completion) in computer science, statistics, data science, mathematics, or a related field; strong English skills; and preferably experience with deep learning, programming, interdisciplinary work, and ethical reflection. Academic performance should be strong, and applicants must meet the stated grade requirements and security eligibility conditions.

Applications must be submitted via Jobbnorge by 2026-10-16. Required documents include a cover letter, CV, transcripts and diplomas, publication list, optional thesis material, references, and proof of English proficiency.

Funding details

Three-year PhD fellowship, with a possible fourth year including 25% career-promoting work such as teaching, supervision, or research assistance. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% deducted for statutory pension contributions. The position includes a generous pension agreement, public benefits, welfare schemes, and research mobility funds.

What's required

Applicants must have a Master’s degree or equivalent in computer science, statistics, data science, mathematics, or a related field, or be in the final stage of completing it. The foreign completed degree must correspond to at least four years in the Norwegian educational system. Applicants must have fluent oral and written English, and documentation of English proficiency is required. Desired qualifications include experience with deep learning models, strong programming skills, interest in ethical aspects of research, and experience with interdisciplinary work. Academic results should be in the upper segment of the class; the norm is at least C average in the bachelor’s degree, B average in the master’s degree, and B or better for the master’s thesis. Successful applicants must be security-eligible.

How to apply

Apply through the Jobbnorge recruitment system using the 'Apply for the position' link. Submit a cover letter, CV, transcripts and degree diplomas, publication list, optional thesis material, 2–3 references, and documentation of English proficiency. Foreign applicants should include an explanation of their grading system and ensure all documents are in English or a Scandinavian language.

More information can be found here

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