University of Oslo
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PhD position in probabilistic machine learning and statistics at University of Oslo University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Three-year PhD Research Fellowship with possible extension of up to 12 months for compulsory work duties such as teaching or advising. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position is described as funded and temporary.
Deadline
Oct 4, 2026
Country
Norway
University
University of Oslo
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About this position
University of Oslo is advertising a 3-year PhD Research Fellowship in probabilistic machine learning and statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics, Institute of Basic Medical Sciences. The project sits at the interface of probabilistic modelling, latent-variable methods, Bayesian methodology, statistical machine learning, and computational biology.
The research focuses on developing probabilistic factor models and scalable inference algorithms for structured biological data, with applications in genomics, spatial transcriptomics, and fluorescence imaging. The successful candidate will work on high-dimensional, multi-view biological data, uncertainty quantification, identifiability, interpretation, and methods that incorporate domain-specific information into latent-variable models.
The position is embedded in the research group Statistical models for high-dimensional and functional data, led by Professor Valeria Vitelli, and includes collaboration with the MolMed Imaging Platform and the FunGen-AD consortium. There are also possibilities for a 3–6 month research stay at Columbia University in New York, USA.
Eligibility highlights: Master’s degree or equivalent in statistics, machine learning, mathematics, computer science, physics, or a closely related quantitative field; strong background in probability, linear algebra, and statistical modelling; strong programming skills (Python, PyTorch/JAX or similar); excellent English; and a strong interest in methodological development. Preferred experience includes Bayesian computation, probabilistic machine learning, unsupervised learning, matrix/tensor factorization, large-scale data analysis, and biomedical applications.
Funding: three-year fellowship with salary NOK 550,800–595,000, plus possible extension of up to 12 months for teaching or advising duties. The post is based in Oslo, Norway, at Domus Medica on the UiO campus.
Application deadline: 2026-10-04. Apply through Jobbnorge and include a cover letter, CV, transcripts, diplomas, English documentation if needed, publication list, thesis/chapter, and references.
Funding details
Three-year PhD Research Fellowship with possible extension of up to 12 months for compulsory work duties such as teaching or advising. Salary is NOK 550,800–595,000 depending on competence and experience, with 2% statutory pension contribution deducted. The position is described as funded and temporary.
What's required
Applicants need a Master’s degree or equivalent in statistics, machine learning, mathematics, computer science, physics, or a closely related quantitative discipline, with a foreign degree corresponding to at least four years in the Norwegian system. The Master’s project should involve methodological questions using mathematical, statistical, or computational tools, and candidates must show strong interest in methodological development. Essential requirements include strong competence in probability, linear algebra, and statistical modelling; strong interest in probabilistic modelling, latent-variable methods, or Bayesian methodology; strong programming and computational skills (e.g. Python, PyTorch/JAX or similar); excellent interpersonal and communication skills; and excellent written and oral English. Preferred qualifications include Bayesian computation, probabilistic machine learning, latent-variable models, unsupervised learning, matrix/tensor factorization, large or high-dimensional data methods, biomedical applications, and interdisciplinary collaboration. Grade requirements include average Bachelor’s grade C or better, Master’s grade B or better, and Master’s thesis grade B or better in the Norwegian system.
How to apply
Prepare a cover letter, CV, transcripts and degree diplomas, English proficiency documentation if applicable, publication list, master’s thesis or chapter, and 2–3 references. Submit the application with attachments through the Jobbnorge recruitment system via the Apply for the position link. Foreign applicants should include an official explanation of their grading system and upload documents in English or a Scandinavian language.
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