PhD Fellowship: Aortic Valve Assessment via 3D Models

Espen Remme; Oslo; On-site; NOK 520,000 - 560,000; Full time

Benefits offered by this job

Standard Norwegian PhD fellowship

International collaboration

Professional development

Job summary

Oslo University Hospital's Intervention Centre offers a 3‑year PhD fellowship focused on improving assessment of aortic valve disease and TAVI outcomes. The project combines experimental models, CFD/FSI simulations, and advanced ultrasound techniques across international collaborations, with a strong emphasis on integrating clinical context and engineering methods.

The PhD candidate will work in an interdisciplinary team, develop patient‑specific models, and contribute to a laboratory mock

Qualifications

• Master's degree in Mechanical Engineering, Biomedical Engineering, Medical Technology, Engineering Cybernetics, Physics, Applied Mathematics, Informatics, or related discipline.
• Strong academic record (weighted average grade of B or higher).
• Experience with CFD simulations and possibly FSI modelling is advantageous.
• Experience with scientific programming (Python, MATLAB, C++ or similar).
• Excellent written and oral English is required.

Responsibilities

• Develop 3D printed models of diseased aortic valves and contribute to a laboratory mock circulation platform.
• Validate CFD and FSI models against experimental measurements.
• Investigate echocardiographic methods and develop improved diagnostic approaches.
• Collaborate with clinicians, engineers, and researchers across Europe and during planned stays.
• Present findings through publications and conferences.

Skills

Interdisciplinary research

Scientific programming

English proficiency

Education

Master's degree in Mechanical Engineering or Biomedical Engineering or related field

Tools

CFD simulations

Python

MATLAB

C++

Job description

Oslo University Hospital's Intervention Centre offers a 3‑year PhD fellowship focused on improving assessment of aortic valve disease and TAVI outcomes. The project combines experimental models, CFD/FSI simulations, and advanced ultrasound techniques across international collaborations, with a strong emphasis on integrating clinical context and engineering methods.

The PhD candidate will work in an interdisciplinary team, develop patient‑specific models, and contribute to a laboratory mock