项目介绍

2026年9月10日

About the position

The Hybrid Technology Hub CoE (https://www.med.uio.no/hth/english/) is inviting applications for a three‑year PhD position.

The recruited candidate will take part in UiO Emerging Technologies Initiative Project FTI-NAM. NAM technologies (New Approach Methodologies), in particular organoids and microphysiological systems (MPS), are rapidly emerging as transformative and strategic technologies with the potential to redefine the future of health and life sciences. By integrating stem cell biology, patient-derived material, tissue engineering, microfluidics, advanced analytics, and digital technologies, NAM platforms enable the development of highly predictive and human-relevant biomedical models that overcome major limitations of conventional animal models.  The recruited candidate will focus on the development of an advanced human liver model for investigation of liver-immune cross-talk and the capacity of the liver to resolve inflammation and restore tissue homeostasis.

The successful applicant will work under the supervision of Professor Stefan Krauss and Dr. Aleksandra Aizenshtadt and will be embedded in an interdisciplinary team.

The duration of appointment is 3 years.

Key tasks

The PhD will focus on developing a robust, microfluidic platform for in‑depth analysis of liver – immune cell interactions

 Qualifications 

• Master’s degree in Biology, Biotechnology, or a closely related field.
• Minimum of two years of relevant post-graduate, hands-on laboratory experience.
• Documented experience with advanced human cell culture, including 3D models and organ-on-chip systems.
• Hands-on experience with pluripotent stem cell culture.
• Proficiency in standard molecular and cell biology techniques, including RT-qPCR, ELISA, immunocytochemistry, and Western blotting.
• Experience with sample preparation, imaging, and image analysis using confocal and high-resolution microscopy.
• Hands-on experience working with primary human tissues and cells, particularly liver tissue, is an advantage.
• Experience with library preparation for single-cell and/or single-nucleus RNA sequencing (scRNA-seq/snRNA-seq) is an advantage.
• Knowledge of data analysis methods, including statistical software and transcriptomic analysis pipelines is an advantage. 
• Excellent written and verbal communication and presentation skills in English.

The application must include

• A motivation letter.
• CV (summarizing education, positions and academic work).
• A recommendation letter from the previous relevant work.
• Documents, certificates, contracts confirming education and relevant working experience.