PhD in Probabilistic ML & Statistics for Biomedical Data

Universitetet I Oslo; Columbia, Northern (SC, KY); Hybrid; USD 59,000 - 64,000; Full time

Job summary

The University of Oslo invites applications for a three-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 (IMB). The position is based at UiO in Oslo, with potential collaboration with Columbia University (USA).

The successful candidate will develop probabilistic factor models, latent-variable methods, and scalable inference for

Qualifications

• Master’s degree or equivalent in statistics, machine learning, mathematics, computer science, physics, or a closely related quantitative discipline. If a foreign degree, it must correspond to a minimum of four years in the Norwegian educational system.
• Master’s project should address methodological questions using mathematical, statistical, or computational tools.
• Proven competence in probability, linear algebra, and statistical modelling.
• Strong interest in probabilistic modelling, latent-variable methods or Bayesian methodology.
• Demonstrated strong proficiency in programming (e.g., Python, PyTorch/JAX) and computational skills.
• Candidates must have excellent interpersonal and communication skills. Personal suitability and an interest in the funded project will be emphasized.

Responsibilities

• Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high-dimensional data.
• Develop modular methods that incorporate domain-specific information into latent-variable models.
• Investigate methodological questions related to computation, identifiability, uncertainty quantification, and interpretation.
• Account for structures arising from spatial relationships, physical constraints, high-dimensional imaging, and clinical covariates.
• Apply the resulting methods to spatial transcriptomics and fluorescence imaging data to improve understanding of complex biological systems.

Skills

Python

PyTorch/JAX

Probabilistic modelling

Latent-variable methods

Bayesian methodology

Machine learning

Education

Master’s degree in statistics / ML / mathematics / CS / physics

Tools

Programming tools

Job description

The University of Oslo invites applications for a three-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 (IMB). The position is based at UiO in Oslo, with potential collaboration with Columbia University (USA).

The successful candidate will develop probabilistic factor models, latent-variable methods, and scalable inference for