项目介绍

2026年9月24日

About the position 

Biomaterial Science (BIOMAT) / Institute of Clinical Dentistry, Faculty of Dentistry, is offering a PhD position focused on AI-driven quantitative analysis and predictive modelling of biomaterials, tissues, and regenerative constructs.

The project combines advanced 2D and 3D bioimaging, including micro/nanoCT, confocal microscopy and SEM, with computational image analysis, computer vision and machine learning. The aim is to develop robust and standardized methods to link structural, mechanical and biological properties to biomaterial performance and tissue reconstruction.

The PhD candidate will work with multimodal datasets from biological tissues and engineered biomaterials and contribute to research on:

• quantitative 2D and 3D analysis of biological tissues using nanoCT;
• characterization of fibrous biomaterial scaffolds, including porosity, fiber architecture and structural stability;
• standardization and computational analysis of biomedical imaging data;
• AI-based prediction of cell and exosome distribution in regenerative biomaterials.

The candidate will receive interdisciplinary training in biomaterials research, advanced imaging, quantitative image analysis, data processing and machine-learning-based modelling.

More about the position

The main purpose of the fellowship is research training leading to the successful completion of a PhD degree. The appointment is for 3 years and the place of work is Oslo, Norway.

The research 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.

The project has a strong focus on regenerative medicine and dental applications, including hard- and soft-tissue reconstruction.

The three-year project is expected to produce three scientific papers and a doctoral thesis.

Your areas of responsibility will be

• Perform quantitative 2D/3D analysis of biological tissues and biomaterials using micro/nanoCT, confocal microscopy and SEM
• Characterize fibrous scaffold architecture, porosity and structural stability

• Develop computer vision and machine learning methods for multimodal bioimaging data
• Build AI models predicting cell and exosome distribution in regenerative biomaterials

More about the fellowship

The purpose of the fellowship is research training leading to the successful completion of a PhD degree. The appointment is for three years and is devoted to the doctoral project and required research training.

Admission to the PhD programme at the Faculty of Dentistry is a prerequisite for taking up the position. The candidate is expected to complete the project within the fellowship period. A final plan for the research training must be approved and formalised no later than three months after the start of the position.

The main supervisor will be Associate Professor Athina Samara. 

Qualification requirements

Mandatory requirements

• 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.
• Documented interest in interdisciplinary research combining biological and computational approaches.
• Fluent oral and written communication skills in English.

Desirable qualifications

• Documented Experience with Python and/or another scientific programming language.
• Documented Experience with image processing, computer vision or machine learning or 
• Documented Experience with 2D or 3D biomedical imaging, quantitative or multimodal biological datasets.
• Familiarity with biomaterials, tissue engineering, scaffolds, hydrogels or 3D biological models.

What are we looking for in you?

• You work independently, precisely and systematically, while asking for input when appropriate.
• You have strong practical and analytical skills 
• You are scientifically curious, critical and willing to revise methods when the data do not support initial assumptions.
• You communicate clearly and contribute constructively to interdisciplinary teamwork.
• You demonstrate research integrity, realistic planning and the persistence required to complete a three-year PhD project.
• Employment in the position will be based on a comprehensive assessment of the qualification requirements, the relevance and quality of previous academic and practical experience, motivation for the project, scientific potential and personal suitability.

We need different perspectives in our work

• UiO is an open and internationally oriented comprehensive university that aims to provide an inclusive and diverse workplace and academic environment. We fulfil our mission most effectively when we draw on different experiences, backgrounds and perspectives.
• We will do our best to accommodate individual needs. Relevant adjustments may include adaptations to working hours, tasks, digital or physical tools, or other practical measures. Applicants with an immigrant background, a disability or gaps in their CV are encouraged to indicate this in the application portal. UiO invites at least one qualified applicant from each of these groups to interview in accordance with applicable state-sector procedures.