"PhD candidate in Statistics at the Oslo Centre for Biostatistics and Epidemiology (OCBE)"

PhD Position:

Statistical Models for High-Dimensional and Functional Data

Oslo Centre for Biostatistics and Epidemiology (OCBE), Department of Biostatistics, Institute of Basic Medical Sciences (IMB)

University of Oslo (UiO), Norway

Full-time | Fixed Term (3 years) | Application Deadline: 13 June 2025

Location: Sognsvannsveien 9, 0316 Oslo

About the Position and Research Group

• The candidate will join the research group on “Statistical models for high-dimensional and functional data” led by Associate Professor Valeria Vitelli.
• The research focus is on Bayesian models for unsupervised learning with multiple data sources, mainly molecular data in cancer genomics.
• The position is part of the BRIDGE project (Bayesian Rank-based unsupervised Integration of multi-source Data in cancer Genomics and the digital Economy), funded by the Research Council of Norway (RCN).
• Collaborations include the Norwegian Centre for Knowledge-driven Machine Learning (SFF Integreat) and the Epigenomics of Breast Cancer group at Oslo University Hospital.
• OCBE is one of Europe's most active biostatistics groups, with over 70 researchers, focusing on high-dimensional data, Bayesian inference, statistical machine learning, and biomedical applications.

Main Tasks

• Develop and implement Bayesian unsupervised learning models, focusing on rank-based approaches for molecular cancer data integration.
• Address computational and methodological challenges like scalability and reproducibility.
• Collaborate closely with project members and participate in regular meetings.
• Contribute to open, reproducible research by developing code and algorithms.
• Publish research findings and communicate results in scientific forums.
• Pursue personal research interests within the scope of the project.

Qualifications

• Master’s degree or equivalent in statistics, mathematics, computer science, or a related field.
• The Master’s degree must correspond to at least four years in the Norwegian system, with a minimum average grade of B, including the Master thesis.
• Strong scientific programming skills (proficiency in R, Python, or equivalent).
• Background in Bayesian methods, statistical learning, unsupervised learning, rank-based modeling, or preference learning is a plus.
• Experience with large datasets and biomedical applications is advantageous.
• Excellent interpersonal and communication skills, ability to work in interdisciplinary teams.
• Fluent in English (both written and oral).

We Offer

• Salary: NOK 536,200 – 575,400 per year depending on qualifications.
• A professional, supportive, and international research environment.
• Dedicated support for international relocation and integration.
• Opportunities for career development, networking with national and international experts.
• Access to good welfare benefits including health services and pension scheme.
• Family-friendly and culturally rich city of Oslo.

Application Requirements

• Cover letter (motivation and research interests).
• CV (education, positions, scientific publications).
• Copies of Bachelor’s and Master’s diplomas and transcripts.
• Proof of English proficiency (if applicable).
• Master thesis or sample chapters.
• Contact details for 2-3 references.
• Submit application via Jobbnorge.

Additional Information

• Interviews will be held for shortlisted candidates.
• The candidate must pass national export, sanctions, and security regulations.
• The position aims at research training for PhD completion.
• Residence in Oslo area expected during the appointment.

Contact

Associate Professor Valeria Vitelli

Email: valeriv@uio.no