PhD fellowship: Improve Aortic Valve Disease Assessment Using Experimental and Computational Models
Helse Sør-øst RHF
Get more replies from employers
Send a job-specific resume in minutes.
Benefits offered by this job
Job summary
Helse Sør-øst RHF in Oslo invites applications for a 3-year PhD fellowship at the Intervention Centre of Oslo University Hospital. The project sits within the Cardiovascular Digital Twin network and is funded by the European Research Council’s MSCA program, offering an interdisciplinary environment at the interface of engineering, mathematics and medicine.
We seek a motivated candidate with a Master’s degree in engineering or related field, strong academic record, proficiency in English, and
Qualifications
- Master's degree in a relevant technical field with strong academic record.
- Interest in interdisciplinary research at engineering, mathematics, and medicine.
- Experience with CFD/FSI and scientific programming is advantageous.
- Excellent written and oral English communication skills.
- Ability to work independently and in a multidisciplinary team.
Responsibilities
- Contribute to the 3-year PhD project at the Intervention Centre, Oslo University Hospital.
- Collaborate within the Cardiovascular Digital Twin network across Europe.
- Engage in computational modelling, data analysis, and validation studies.
Skills
Education
Tools
Job description
A 3-year PhD-fellowship is available at the Intervention Centre at Oslo University Hospital. This is one out of two fellowships at The Intervention Centre that is part of the Cardiovascular Digital Twin network comprising a total of 15 fellowships across Europe (https://www.cdtnet.eu/). The project is funded by the European Research Council’s MSCA program.
Oslo University Hospital is a workplace with great diversity. We believe this is crucial for solving our tasks in the best possible way. We want this diversity to be reflected among the applicants for our positions, and we encourage all qualified candidates, regardless of background, to apply!
- We seek a motivated, creative, and enthusiastic candidate with a strong interest in interdisciplinary research at the interface of engineering, mathematics, and medicine.
- Applicants should hold a Master's degree (or equivalent) in Mechanical Engineering, Biomedical Engineering, Medical Technology, Engineering Cybernetics, Physics, Applied Mathematics, Informatics, or a related discipline.
- A strong academic record is required, corresponding to a weighted average grade of B or higher.
- Experience with computational fluid dynamics (CFD) simulations is highly desirable. Experience with fluid–structure interaction (FSI) modelling is an additional advantage.
- Experience with scientific programming (e.g., Python, MATLAB, C++, or similar languages) is advantageous.
- Knowledge of fluid mechanics, computational mechanics, mathematical modelling, numerical methods, or medical image analysis is considered an advantage.
- Experience with experimental fluid mechanics, laboratory instrumentation, physical modelling, sensor technology, or experimental validation is advantageous.
- Experience with three-dimensional modelling, computer-aided design (CAD), or additive manufacturing (3D printing) is beneficial.
- Previous research experience, including scientific publications, conference presentations, or participation in research projects, is advantageous.
- Interest in cardiovascular physiology, echocardiography, heart valve disease, medical technology, or computational medicine is desirable.
- Experience with experimental, pre-clinical, or clinical research, including data collection, validation studies, or analysis of biomedical data, is an advantage.
- Excellent written and oral communication skills in English are required.
- The successful candidate should be able to work independently while also contributing effectively within a multidisciplinary and international research team.
Who CANNOT apply: Applicants who have lived, worked, or studied in Norway for more than 12 months in total during the last 3 years.
Who CAN apply: Applicants who have spent less than 12 months in Norway during the last 3 years (including those who have never been to Norway).
- Standard Norwegian PhD fellowship salary according to agreement with labour union
- Professional development in a friendly and stimulating multi-disciplinary and international working environment
- Attractive welfare arrangements
The PhD-fellow will be based at the Intervention Centre at Oslo University Hospital where the work will be conducted in an interdisciplinary team of research scientists, surgeons, engineers, and university researchers. The employment period is three years (commencing approximately December 2026), including the objective of taking organized academic training (university courses) and the completion of the PhD degree. Admission to a doctoral degree program is a requirement; including undertaking a total of 30 credits coursework from University in Oslo’s (UiO) PhD courses. For regulations concerning the PhD degree at UiO, see: https://www.uio.no/english/research/phd/
- King's College London, United Kingdom (2 months): training in cardiovascular flow phantoms, computational fluid dynamics and advanced haemodynamic measurements.
- Ghent University, Belgium (1 month): training in cardiovascular flow phantoms, computational fluid dynamics and experimental flow modelling.
- FEops, Belgium (1 month): exposure to the commercial application of computational modelling for planning structural heart interventions.
- Short statement on the applicant’s personal qualifications and motivation for the position
- Applicant's CV (including list of publications and relevant former positions)
- Academic transcripts and degree certificates, with official translation in English
- Short statement from a former supervisor/tutor/teacher
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
