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Postdoctoral Researcher
vor 2 Wochen
University Children's Hospital Zurich_
**Postdoctoral Researcher**
We are specifically interested in individuals with a strong background in image segmentation and image synthesis, capable of deploying these methods in challenging clinical imaging scenarios. The postdoctoral scientist will be an integral part of the research project titled "Brain age and digital twins as markers of infant neurodevelopment: a machine-learning approach using multinational MRI data" which is funded by the Swiss National Science Foundation's Korean-Swiss Science and Technology Programme (KSSTP) grant. The project is an international collaboration with the Catholic University and the NeuroPHET company in Seoul. This position offers a full-time commitment for a duration of two years.
**Your responsibilities**:
- Work in the research project "Brain age and digital twins as markers of infant neurodevelopment: a machine-learning approach using multinational MRI data", funded by the Swiss National Science Foundation's Korean-Swiss Science and Technology Programme (KSSTP) grant, led by Prof. Dr. Andras Jakab at the Center for MR-Research, University Children's Hospital Zurich.
- Develop and implement innovative techniques for generating realistic MR images of infants and designing an efficient image segmentation network capable of handling multi-centric, international MRI data of infants.
- Based on these techniques, create a novel machine learning-driven approach for estimating brain age from images.
- Produce and share code with project collaborators and the wider research community.
- Provide guidance and supervision to master's thesis students and interns engaged in the same project.
- Collaborate with the Principal Investigator to coordinate research tasks within the project, including data annotation and sharing, in conjunction with the Korean research team (Catholic University and NeuroPhet Inc. in Seoul, Korea).
- Undertake one or two visits to the Korean research partner as needed.
**Your profile**:
- PhD in the fields of engineering or computer science, with previous research experience in image analysis utilizing machine learning
- Proficient programming skills, including languages such as Python, to effectively carry out project tasks
- Past experience in image segmentation, generative AI (GAN/stable diffusion) is a plus
- Exhibit strong abilities in scientific presentation, as well as excellent written and spoken English communication skills
- Collaborate effectively within a team and demonstrate exceptional teamwork capabilities
**What we offer**: We offer varied and interesting work in an inspiring and socially relevant environment. Diversity and inclusion are important to us.
**Place of work**: Steinwiesstrasse 75, Zürich, Switzerland
**Start of employment**: The position is open starting from January 2024 or at a mutually agreed-upon date.
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