Summary
The University of Oslo is inviting applications for a three-year PhD Research Fellow position in Statistics and Machine Learning at the Oslo Centre for Biostatistics and Epidemiology (OCBE). This position aims to develop a framework for tensor analysis as part of the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”.
PhD Research Fellow in Statistics/ML at the University of Oslo, Norway
Designation
PhD Research Fellow in Statistics/ML
Table of Information
| Item | Details |
|---|---|
| Research Area | Bayesian Methods, Statistics, Machine Learning, Biostatistics |
| Location | Domus Medica, Gaustad UiO campus, Oslo, Norway |
| Eligibility/Qualification | Master’s degree in a relevant discipline, demonstrated programming skills, competence in mathematics, and excellent communication in English |
| Last Date to Apply | April 19, 2026 |
Research Area
- Development of statistical solvers incorporating domain-specific knowledge
- Analysis of spatial structures and high-dimensional imaging data
- Application of methods to spatial transcriptomics and fluorescence imaging data in biological systems
Location
- Department of Biostatistics, Institute of Basic Medical Sciences, University of Oslo (UiO), Oslo, Norway
Eligibility/Qualification
Required:
- Master’s degree or equivalent in Statistics, Machine Learning, Mathematics, Computer Science, Physics, or related fields
- A grade of B or better in the Norwegian educational system
- Strong background in probability, linear algebra, and statistical modeling
- Proficiency in programming (Python, PyTorch/JAX)
- Excellent communication skills in English
Desired:
- Background in Bayesian methods and matrix factorization
- Experience with large datasets, biomedical applications, and interdisciplinary collaborations
Description
This PhD position focuses on developing a scalable and interpretable framework for tensor analysis. The successful candidate will work collaboratively with experts at the OCBE and will have the opportunity to engage with international research initiatives, including a research stay at Columbia University. The work environment promotes the publication of research findings in premier machine learning and statistics venues.
How to Apply
- Prepare the following application materials:
- Cover letter stating motivation and research interests
- CV highlighting education and academic work
- Transcripts and copies of degree diplomas
- Documentation of English proficiency (if applicable)
- List of publications or works for evaluation
- Master thesis or significant parts of it
- Contact details for 2-3 references
- Submit your application via the recruitment system Jobbnorge.
Last Date to Apply
- April 19, 2026
This scholarship presents an exciting opportunity for those seeking a substantive academic career in biostatistics and machine learning, contributing to significant research tackling complex biological challenges.
