Summary
The Oslo Centre for Biostatistics and Epidemiology (OCBE) is offering two exciting PhD positions focused on the intersection of machine learning, probabilistic modeling, and genetics. These positions provide an excellent opportunity to contribute to innovative research environments alongside leading international collaborations.
PhD Positions in (Bio)Statistics/Machine Learning, Centre for Biostatistics and Epidemiology, Oslo, Norway
Designation
PhD Candidates in (Bio)Statistics/Machine Learning
| Position | Research Area | Location |
|---|---|---|
| Project 1 | Analysis of tensors with complex latent dependencies | Oslo, Norway |
| Project 2 | Generative models for discrete sequence data | Oslo, Norway |
Research Area
- Machine Learning
- Probabilistic Modelling
- Genetics
Location
Oslo Centre for Biostatistics and Epidemiology, Oslo, Norway
Eligibility/Qualification
- A Master’s degree in statistics, mathematics, computer science, or a related field
- Strong knowledge in machine learning and/or statistical modeling
- Passion for research and willingness to learn
Description
Project 1
Develop novel methods for analyzing tensors with complex latent dependencies using machine learning models, combined with efficient Bayesian inference techniques such as variational approximation.
Project 2
Explore the development of new generative models for discrete sequence data through the fusion of diffusion models and coalescent theory.
Both positions offer a vibrant research community environment and are in collaboration with Integreat, the Norwegian Centre for Knowledge-driven Machine Learning.
How to Apply
Interested candidates should submit their applications through the following links:
- PhD Project 1 Application
- PhD Project 2 application details will be available soon.
Last Date to Apply
Sunday, April 19, 2026
