Summary
The Oslo Centre for Biostatistics and Epidemiology (OCBE) is offering two funded PhD positions focused on the intersection of machine learning, probabilistic modeling, and genetics. These positions are part of a vibrant research community with international collaborations and are closely associated with Integreat, the Norwegian Centre for Knowledge-driven Machine Learning.
PhD Positions in (Bio)Statistics/Machine Learning, Integreat, Norway
Designation
Two PhD Candidates
| Project | Research Focus | Location | Application Deadline |
|---|---|---|---|
| Project 1 | Analyzing tensors with complex latent dependencies using Bayesian inference | Oslo Centre for Biostatistics and Epidemiology (OCBE) | April 19, 2026 |
| Project 2 | Generative models for discrete sequence data combining diffusion models and coalescent theory | Integreat | May 11, 2026 |
Research Area
- Machine Learning
- Probabilistic Modelling
- Genetics
Location
- Oslo Centre for Biostatistics and Epidemiology (OCBE)
- Integreat, Norway
Eligibility/Qualification
- Relevant background in statistics, machine learning, or a related field.
- Strong analytical and programming skills.
- Experience in genetics or related domains is a plus.
Job Description
Project 1
Develop methods for analyzing tensors with complex latent dependencies through machine learning and efficient Bayesian inference techniques such as variational approximation.
Project 2
Create generative models for discrete sequence data by integrating diffusion models with coalescent theory.
How to Apply
Interested candidates can apply through the following links:
- For Project 1: Apply Here
- For Project 2: Apply Here
Last Date to Apply
- Project 1: April 19, 2026
- Project 2: May 11, 2026
This is an excellent opportunity for early-career researchers to engage in cutting-edge research in a supportive and collaborative environment.
