Postdoctoral researcher in cardiovascular image analysis
The Biomedical engineering & physics department of Amsterdam UMC is looking for a postdoc in medical imaging, deep learning, and cardiovascular modeling.
You will work on a project focused on improving risk stratification for Marfan syndrome patients, with a strong translational goal of informing surgical decision-making. The research bridges multiple domains: cardiovascular image analysis (with a focus on 4D flow MRI), deep learning, and computational biomechanics. The aim of the project is to extract and integrate geometric and mechanical aortic biomarkers in Marfan syndrome patients.
You will develop and refine AI-based tools for automated aortic segmentation, geometric analysis, and in silico modeling. The work will involve both development and validation of machine learning pipelines, and interpretation of model results in a clinical context. This position offers a unique opportunity to contribute to high-impact cardiovascular research at the interface of engineering, medicine, and data science.
As a postdoc, you will:
- apply and improve AI and deep learning tools for automated analysis of cardiovascular imaging data (CT/MRI), with a focus on the aorta in Marfan syndrome patients;
- develop deep neural networks for 3D image segmentation, image registration, and processing of graphs or surface meshes;
- develop novel computational pipelines that integrate image-based geometry, biomechanical modeling, and clinical data for risk prediction of aortic dissection;
- critically evaluate model performance and interpret results in the context of clinical and biomechanical relevance;
- authoring and co-authoring manuscripts submitted to high quality journals;
- present research findings at scientific meetings, workshops, and international conferences.
You have affinity with working on 3D or 4D image analysis methods. Scientific programming experience is essential (preferably in Python). Moreover, experience with neural networks for image analysis, including geometric deep learning approaches, is highly relevant. If you have prior exposure to cardiovascular imaging and numerical modeling, that is a plus.
In addition you meet the following requirements:
- PhD in biomedical engineering, or related field;
- good collaboration skills: you work well in a team;
- excellent ability to communicate, write, and read English. Note: only English applications will be considered.
- A flying start to your career in scientific research.
- Plenty of room for your drive to shape tomorrow's healthcare.
- Working on large-scale and in-house research, with motivated colleagues from all over the world.
- You will be employed by Amsterdam UMC Research BV.
- A contract for 8 months with no possible extension.
- Salary scale 10: € 3.598 to € 5.669 gross based on full-time employment (depending on education and experience) and a year-end bonus of 8.3%. Calculate your net salary here.
- Holiday hours: 190.4 per year for fulltime and a possibility to save additional hours.
- Pension accrual with BeFrank, a modern, comprehensible and fairly priced pension.
- For >7 km each way, 100% reimbursement for public transport travel costs and, for private transport, €0.18 per km up to a maximum of 40 km each way.
- Do you prefer walking or cycling? Take advantage of our good bike scheme. Moreover, you will receive a reimbursement of €0.18 per km.
Watch this video with more information about joining Amsterdam UMC Research BV.
Research at the Department of Biomedical Engineering and Physics at Amsterdam UMC focuses on the development and application of advanced imaging, modeling, and computational techniques to improve diagnosis and treatment in medicine, with a strong emphasis on cardiovascular and neurological diseases. Our work combines engineering principles with clinical insight, integrating methods from medical imaging, biomechanics, and data science to address complex biomedical challenges.
You will be part of a vibrant, interdisciplinary team of researchers, PhD candidates, and clinicians, with expertise spanning biomedical engineering, computational modeling, image analysis, physics, and artificial intelligence. The department provides a stimulating environment that fosters collaboration between technical and clinical researchers, with strong ties to clinical departments at Amsterdam UMC and national and international partners.
We are an inclusive and diverse academic community. At Amsterdam UMC, we believe that scientific progress thrives in an environment where different perspectives and experiences are valued. We actively encourage applications from candidates of all backgrounds who are eager to contribute their unique insights to our research and academic mission.
Note! Only English applications will be considered.
Note! For your application it is important that you submit two documents: (1) a CV and (2) one PDF file containing:
- a letter in which you describe your abilities and motivation;
- a link to your PhD thesis;
- the names and contact details of two scientific referees.
In addition, applications are processed continuously during the publication period. Once the vacancy has been filled, it will be closed prematurely.
If you have any questions about this position, please feel free to contact Simone Saitta, assistant professor department of Biomedical engineering and Physics, via s.saitta@amsterdamumc.nl.
For more information about the application procedure, please contact Rhiannon Sandfort, recruitment advisor, at r.e.sandfort@amsterdamumc.nl.
A reference check, screening and hiring test may be part of the procedure. Read here whether that applies to you. If you join us, we ask you for a VOG (Certificate of Good Conduct).
Internal candidates will be given priority over external candidates in case of equal suitability.
Acquisition in response to this vacancy will not be considered.