Summary:
The University of Oslo’s Integreat Centre invites applications for a PhD Research Fellowship focusing on coalescent-inspired diffusion models for discrete data. This opportunity allows candidates to work at the interface of machine learning, statistics, and probability, with applications in statistical genetics.
PhD Research Fellowship in Generative AI and Statistics, Oslo, Norway
Designation:
PhD Research Fellow
Location:
Oslo, Norway
Research Area:
- Generative AI
- Statistics
- Probability
- Statistical Genetics
Eligibility / Qualification:
| Qualification Requirement | Details |
|---|---|
| Academic Degree | Master’s degree (120 ECTS) or equivalent in machine learning, statistics, mathematics, etc. |
| Grade Requirement | Minimum grade B (ECTS grading scale) |
| Thesis Requirement | Master’s thesis of at least 30 ECTS |
| Competence in Probability | Strong foundation in probability and statistical modelling |
| Programming Skills | Proficiency in Python, PyTorch/JAX, or similar |
| Communication Skills | Fluent in oral and written English |
| Desired Skills | Familiarity with Bayesian statistics, stochastic processes, Transformer architectures, diffusion models |
Job Description:
The successful candidate will develop novel generative modeling frameworks for discrete sequence data by integrating diffusion-based generative modeling with coalescent theory. The role involves:
- Designing new algorithms and scalable implementations.
- Publishing in top-tier machine learning and statistics venues.
- Collaborating in an interdisciplinary research environment.
How to Apply:
Applicants must submit the following:
- Cover letter with statement of motivation and research interests
- Curriculum Vitae summarizing education and academic work
- Copies of educational certificates
- Documentation of English proficiency (if applicable)
- Complete list of publications and academic works
- List of 2-3 references
Documents should be named as follows: Document type – Surname – First name. Applications should be submitted via the recruitment system Jobbnorge.
Last Date to Apply:
11th May 2026
For more details, please refer to the official job advertisement.
