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NTNU is a broad-based university with a technical-scientific profile and a focus in professional education. The university is located in three cities with headquarters in Trondheim.
At NTNU, 9,000 employees and 43,000 students work to create knowledge for a better world.
You can find more information about working at NTNU and the application process here.
Video:
https://youtu.be/Xt-yHCN5QS0About the position
The Department of Circulation and Medical Imaging at NTNU announces a 3‑year postdoctoral fellowship within the ProCardio Center for Innovation. This position provides a unique opportunity to contribute to world‑leading research in cardiac imaging, artificial intelligence, and precision medicine in cardiology.
You will join an interdisciplinary environment of cardiologists, medical imaging experts, data scientists, engineers, and clinical researchers. The fellowship will allow you to build a strong research profile, engage with national and international collaborators, and contribute to AI‑driven tools that directly impact patient care.
The position is located at the St. Olavs hospital campus in Trondheim, and you will work closely with ProCardio partners at NTNU, Oslo University Hospital, and industry partner GE Vingmed Ultrasound.
About the project
Cardiovascular diseases are highly heterogeneous, and current clinical classifications often fail to capture the underlying complexity. Echocardiography is the primary imaging modality in cardiac care and provides rich, high‑resolution information on cardiac structure and function. However, routine workflows typically extract only a fraction of the available information, and many quantitative parameters remain underutilized or inconsistently recorded. As a result, large-scale imaging datasets contain substantial latent diagnostic and prognostic information that is currently not leveraged in clinical practice. Advances in artificial intelligence now enable automated and standardized echocardiographic measurements with high accuracy and reproducibility, including the ability to re‑analyze entire imaging archives while accounting for image quality and operator variability. These methods create new opportunities for large-scale, data‑driven phenotyping and improved characterization of disease mechanisms and progression.
The postdoctoral project focuses on development of advanced AI methods for longitudinal and multimodal analysis of echocardiographic data, integrating imaging features with clinical metadata and outcomes. We have access to a unique large-scale dataset comprising more than 150,000 patients with corresponding metadata and follow‑up information, enabling robust modeling of disease trajectories and risk profiles. By exploiting these resources, we seek to generate deeper insights into cardiac disease complexity, improve risk stratification, and enhance the clinical utility of echocardiography in everyday patient care.
The ProCardio Center for Innovation is a national research initiative hosted by Oslo University Hospital with key partners including NTNU, UiO, Simula, Sørlandet Hospital, and several industry collaborators. The center develops clinically validated AI technologies that integrate multimodal data such as echocardiography, electronic health records, genomics, longitudinal follow‑up, and outcomes, to enable tomorrow’s precision cardiology. More information can be found at the ProCardio web page.
Duties of the position
Duties of the position
- Conduct high‑quality research in AI for echocardiographic image analysis with emphasis on longitudinal and multimodal modelling
- Develop, train, and validate machine learning models on large‑scale datasets.
- Contribute to reproducible and scalable data pipelines for clinical research.
- Collaborate with ProCardio teams (NTNU, OUS, industry).
- Publish results in high‑impact journals and present at conferences.
- Participate in workshops and scientific meetings.
- Co‑supervise PhD and master’s students.
Required selection criteria
- Completed PhD in computer science, biomedical engineering, medical imaging, machine learning, data science, cybernetics, electrical engineering, or a closely related field.
- Strong documented expertise in AI or machine learning.
- Experience with image‑based data, preferably medical imaging.
- Strong programming skills (Python, PyTorch/TensorFlow).
- Excellent written and spoken English (B2)
Candidates who are in the final stage of their PhD are encouraged to apply, and the start date can be arranged flexibly in accordance with the timing of the PhD defense
PLEASE NOTE: For detailed information about what the application must contain, see paragraph “About the application”.
Preferred selection criteria
Preferred selection criteria
- Experience with echocardiography or ultrasound imaging.
- Experience with longitudinal or temporal modeling / analysis.
- Experience with multimodal learning.
- Experience working in interdisciplinary technical‑clinical environments.
Scandinavian language skills (optional).
Personal characteristics
Emphasis will be placed on personal qualities. Working as a Postdoctoral fellow requires that you are/have:
- Independent and self‑driven.
- Strong analytical and problem‑solving ability.
- Collaborative and comfortable working across disciplines.
- Motivated by research with clinical relevance.
- Structured and able to deliver high‑quality work.
- Open to feedback and adaptable to evolving research needs.
We offer
- A meaningful research position in a national center dedicated to improving cardiac care.
- Strong interdisciplinary and international environment.
- Access to advanced imaging labs, large-scale datasets and high‑performance computing.
- Opportunities for exchanges, conference travel, and international collaboration.
- Professional development, mentorship, and career planning.
- Inclusive and supportive workplace culture.
- Favourable terms in the Norwegian Public Service Pension Fund.
As a Postdoctoral Fellow at NTNU, you will have access to employee benefits.
Diversity
Diversity is a strength, and at NTNU we aim to be an employer that reflects the diversity in society and that makes use of the potential of the population's collective skills. Our vision is Knowledge for a better world and our values are creative, critical, constructive and respectful. We believe that an organization that is equal, diverse and gender-balanced is essential for us to achieve our goals.
We strive to attract employees with different skills, life experiences and perspectives to contribute to even better problem solving of our societal mission in research and education.
If you think this position is relevant and interesting, we encourage you to apply, regardless of gender, functional ability and cultural background, or whether you have been out of work for a period of time.
Salary and conditions
The period of employment is 3 years. As a Postdoctoral Fellow (code 1352) you are normally paid from gross NOK 633 400, - per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
As an employee at NTNU, it is important to keep yourself up to date with academic and organizational changes and to adapt to them.
For the necessary professional and social interaction, it is a prerequisite that you are physically present and available to the institution on a daily basis.
The appointment is carried out in accordance with the principles of the State Employees Act, and Export control (legislation that regulates the export of knowledge, technology and services). Candidates who, after assessment of the application and attachments, are considered to be in conflict with the criteria in the latter act, will not be able to be employed.
About the application
The attachments (including a description of your scientific work) must accompany the application as these documents form the basis of the application assessment.
Please note: the application will only be assessed on the basis of the information we have received by the application deadline. Therefore, make sure that your application clearly shows how your skills and experience meet the criteria described above.
The application and all attachments must be sent electronically via Jobbnorge.no. If you are invited to an interview, you must bring certified copies of certificates and diplomas upon request.
The application must include:
- CV
- Transcripts and diplomas for Master's- and PhD degrees. If you have not yet completed your PhD, you must provide confirmation on your estimated date for the doctoral dissertation, or confirmation that your PhD thesis has been submitted. Documentation of a completed doctoral degree must be presented before taking up the position.
- A copy of the doctoral thesis. If you are close to submitting, you can attach a draft of the thesis.
- Research plan
- Academic works - published or unpublished (up to 5 items)
- Possible recommendation letters
- Name and contact information of three referees
If all or parts of your education has been taken abroad, we also ask you to attach documentation of the scope and quality of your entire education. Description of the documentation required can be found here. If you already have a statement from Norwegian Directorate for Higher Education and Skills (HK-dir), please attach this as well.
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
If you have had leave or another break in your career, it is important that this is stated in your application so that the selection committee can take this into account and that the amount of your research may be reduced as a result.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal qualities. Motivation, ambitions and potential for research will also be emphasized in the assessment of the candidates.
NTNU recognizes a wide range of academic contributions and is committed to follow evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment DORA and the obligations in CoARA (responsible assessment of research and recognition of a greater breadth of academic contributions in accordance with NTNU's social mission).
General information
A public list of applicants with name, age, job title and municipality of residence is prepared after the application deadline. If you wish to be exempt from entry on the public list of applicants, this must be justified. Assessment will be made in accordance with current legislation. You will be notified if the exemption is not granted.
If you have any questions about the position, please contact Professor Lasse Løvstakken by email: lasse.lovstakken@ntnu.no
If you have any questions about the recruitment process, please contact HR Advisor Lydia Lamminen by mail: lydia.c.lamminen@ntnu.no
Application deadline: June 3rd, 2026
For practical information about working at NTNU, please visit this webpage.
The city of Trondheim is a modern European city with a rich cultural scene. Trondheim is the tech capital of Norway with a population of 200,000. The Norwegian welfare state, including healthcare, schools, kindergartens and overall equality, is probably the best of its kind in the world. Professional subsidized day-care for children is easily available. Furthermore, Trondheim offers great opportunities for education (including international schools) and possibilities to enjoy nature, culture and family life and has low crime rates and clean air quality.
Om arbeidsgiveren:
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
The Department of Circulation and Imaging (ISB) has approximately 250 employees, mainly located in the Heart and Lung Center at St.Olav's Hospital, integrated with collaborating clinical departments. ISB is organized into the departments of anesthesia, MRI, radiography, exercise-circulation-respiration, and ultrasound. The department is also responsible for the Medical Simulator Center and the MRI Center.
