University of Oslo
1 week ago
PhD in AI-Driven Multimodal Analysis and Predictive Modelling of Biomaterials at University of Oslo University of Oslo in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded 3-year PhD fellowship at the University of Oslo. Salary is NOK 551,000 to 605,000 depending on competence and experience, with 2% statutory pension contribution deducted. The post includes access to core infrastructure and standard public-sector benefits.
Deadline
Oct 20, 2026
Country
Norway
University
University of Oslo

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About this position
University of Oslo (UiO), Faculty of Dentistry, is offering a PhD position in AI-driven multimodal analysis and predictive modelling of biomaterials. The project is based in the Biomaterial Science (BIOMAT) group / Institute of Clinical Dentistry and focuses on linking structural, mechanical, and biological properties to biomaterial performance and tissue reconstruction.
The research combines 2D and 3D bioimaging (micro/nanoCT, confocal microscopy, SEM) with computer vision, image analysis, and machine learning. The PhD candidate will work with multimodal datasets from biological tissues and engineered biomaterials and contribute to quantitative analysis of tissues, scaffold characterization, standardization of biomedical imaging data, and AI-based prediction of cell and exosome distribution in regenerative biomaterials.
This is a fully funded 3-year PhD fellowship with salary in the range of NOK 551,000–605,000 depending on competence and experience. The position is located in Oslo, Norway, and the work will primarily be carried out at the Oral Research Laboratory, which provides infrastructure for biomaterial production and characterization, cell culture, SEM, confocal microscopy, micro/nanoCT, and histology.
Eligibility highlights: MSc and BSc in Biomaterials, Biomedical Engineering, Biotechnology, Bioinformatics, Biology, Computer Science, Medical Technology, or a closely related field; relevant experience in biomedical imaging, quantitative data analysis, image processing, machine learning, or biomaterials; strong interest in interdisciplinary research; fluent English. Helpful extras include Python, computer vision, machine learning, and experience with 2D/3D biomedical imaging or tissue engineering.
Deadline: 20 October 2026. How to apply: submit a cover letter, CV, diplomas/transcripts, English proficiency documentation if required, publication list if applicable, and reference contacts through UiO’s Jobbnorge recruitment portal. The main supervisor is Associate Professor Athina Samara.
Funding details
Fully funded 3-year PhD fellowship at the University of Oslo. Salary is NOK 551,000 to 605,000 depending on competence and experience, with 2% statutory pension contribution deducted. The post includes access to core infrastructure and standard public-sector benefits.
What's required
Applicants must have an MSc and BSc in Biomaterials, Biomedical Engineering, Biotechnology, Bioinformatics, Biology, Computer Science, Medical Technology, or a closely related field. Relevant experience with biomedical imaging, quantitative data analysis, image processing, machine learning, biomaterials, or related methods is required. Applicants should show documented interest in interdisciplinary research combining biological and computational approaches and must have fluent oral and written English. Desirable experience includes Python or another scientific programming language, image processing, computer vision or machine learning, 2D/3D biomedical imaging, multimodal biological datasets, and familiarity with biomaterials, tissue engineering, scaffolds, hydrogels, or 3D biological models.
How to apply
Prepare a cover letter, CV, diplomas/transcripts/certificates, proof of English proficiency if required, publication list if applicable, and contact details for 2–3 references. Submit all documents in English or a Scandinavian language through UiO’s electronic recruitment system via Jobbnorge before the deadline.
More information can be found here
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