🎓 PhD Research Fellowship in Machine Learning & Statistics – University of Oslo, Norway
📌 Title: PhD Research Fellow in Machine Learning and Statistics
🏛️ Institution: University of Oslo (UiO) – Integreat, Norwegian Centre for Knowledge-driven Machine Learning
💼 Designation: PhD Research Fellow
📍 Location: Blindern, Oslo, Norway
⏳ Duration: 3 years, with a possible 4th year involving 25% career-promoting work
💰 Salary: NOK 550,800–595,000 per year, depending on qualifications and experience
🔬 Research Area
Machine Learning, Statistics, Data Science, Deep Learning, Synthetic Data, Privacy, Fairness, AI Ethics, and Statistical Modeling.
📝 Summary
The University of Oslo is inviting applications for a PhD Research Fellowship at Integreat – Norwegian Centre for Knowledge-driven Machine Learning. The project focuses on developing private and fair synthetic data generation methods with high utility.
The research will involve deep-learning-based synthetic data generators, model approximation, privacy and fairness metrics, and the critical assessment of the balance between privacy, fairness, and data utility. The project lies at the intersection of machine learning, statistics, and ethics.
🎓 Eligibility / Qualification
Applicants should have:
- A Master’s degree or equivalent in Computer Science, Statistics, Data Science, Mathematics, or a related field.
- A foreign Master’s degree equivalent to at least four years of Norwegian higher education.
- Good oral and written English communication skills.
- Applicants in the final stage of completing their Master’s degree may also apply, provided the degree is completed before admission/employment.
Preferred qualifications:
- Experience with deep learning models.
- Strong programming skills.
- Interest in ethical aspects of AI and research.
- Experience with interdisciplinary research.
Academic grade requirements:
- Bachelor’s average: C or better (Norwegian grading equivalent).
- Master’s average: B or better.
- Master’s thesis: B or better.
💻 Job Description
The selected candidate will conduct doctoral research on methods for generating high-utility synthetic data while protecting privacy and promoting fairness. Responsibilities include:
- Developing deep-learning-based synthetic data generators.
- Designing methods for privacy-preserving model approximation.
- Developing privacy and fairness measures.
- Incorporating fairness/privacy objectives into model training.
- Evaluating the trade-offs between privacy, fairness, and utility.
- Conducting interdisciplinary research involving machine learning, statistics, and ethics.
- Publishing and presenting research findings.
- Participating in the research community and PhD training activities.
🎁 Benefits
- Competitive salary of NOK 550,800–595,000/year.
- International and interdisciplinary research environment.
- Mentoring and structured career development.
- Strong national and international research collaborations.
- Research mobility opportunities.
- Pension and public welfare benefits.
- Access to public health services.
- Flexible and family-friendly working conditions.
- Research training through the Integreat Young Researchers’ Forum (INTREF).
📄 How to Apply
Applications must be submitted through the Jobbnorge recruitment system.
Required documents include:
- Cover letter explaining motivation, research interests, and academic achievements.
- CV including education, employment, and publications.
- Bachelor’s and Master’s degree certificates and transcripts.
- List of publications and relevant academic work.
- Master’s thesis or thesis draft, if applicable.
- Contact details of 2–3 referees.
- Documentation of English proficiency.
- Official explanation of the grading system for applicants educated outside Norway, where applicable.
Applicants are encouraged to retrieve educational records through Vitnemålsportalen where available.
📅 Last Date to Apply
16 October 2026
🔗 Application: Apply through the official Jobbnorge advertisement for PhD Research Fellow in Machine Learning and Statistics.
University: University of Oslo (UiO), Norway
Employment: Full-time | Temporary | PhD Research Fellowship
Starting Date: Preferably no later than 1 April 2027
Apply Link
