PhD fellowship - Computational Models for Improved Assessment of Diastolic Function

Helse Sør-øst RHF; Oslo; On-site; NOK 420,000 - 540,000; Full time

Benefits offered by this job

MSCA fellowship

Job summary

The 3-year PhD fellowship is hosted at the Intervention Centre, Oslo University Hospital, as part of the Cardiovascular Digital Twin network. It invites candidates with strong interdisciplinary interests in engineering, mathematics and medicine to contribute to innovative cardiovascular research.

The project supports mobility under the MSCA program, with a strict international mobility rule; applicants must meet the eligibility criteria to be considered for the fellowship.

Qualifications

• Master's degree in Cybernetics, Electrical Engineering, Informatics, Physics, Mathematics, Biomedical Engineering, Medical Technology, or related discipline.

Responsibilities

• Conduct interdisciplinary research at the interface of engineering, mathematics and medicine.

Job description

PhD fellowship - Computational Models for Improved Assessment of Diastolic Function

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!

Desirable Project-Specific Qualifications and Skills

• 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 Cybernetics, Electrical Engineering, Informatics, Physics, Mathematics, Biomedical Engineering, Medical Technology, or a related discipline.
• A strong academic record is required with a weighted average grade of B or higher.
• Experience with scientific programming (e.g., Python, MATLAB, or similar languages) is advantageous.
• Knowledge of mathematical modelling, computational mechanics, or data science is considered an advantage.
• Interest in cardiovascular physiology, echocardiography, 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.
• Previous research experience, including scientific publications, conference presentations, or research projects, is beneficial.
• 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 research team.

Important Eligibility Rule (MSCA Mobility Rule)

This position is funded by the European Research Council's MSCA program. To apply, you must meet a strict international mobility rule.

Who CANNOT apply: Anyone who has lived, worked, or studied in Norway for more than 12 months in total during the last 3 years.

Who CAN apply: Anyone who has 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