Department of Biomedical Engineering (DBE), University of Basel
Group: Analytics & Informatics for Child Health (AICH)
Starting date: July 2026 or upon agreement
Duration: 2 years, with possibility of extension
About Us
The Analytics & Informatics for Child Health (AICH) group embdedded in BRCCH (Basel Research Center for Child Health) develops AI/ML methods, digital tools, and secure data pipelines to advance pediatric healthcare. We work at the intersection of clinical medicine, machine learning, and data-intensive research, collaborating closely with hospitals, clinical IT teams, and research partners at the University of Basel.
We are looking for a motivated **Postdoctoral Researcher **who combines strong research skills in ML/AI with an interest in applied digital health problems and hands-on experience with research engineering and data infrastructure.
Your assignments
Research (approx. 80%)
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Lead and contribute to ML/AI research projects and publications together with PhD students and other postdocs.
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Participate in collaborative projects with clinical and technical partners.
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Support PhD students, master students or interns with data preparation, prototyping, and code organization.
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Build and manage containerized environments (Docker, Singularity) and orchestrate jobs via SLURM.
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Contribute to MLOps infrastructure (experiment tracking, logging, reproducible setups).
IT Administration (approx. 20%)
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Maintain local group IT infrastructure.
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Coordinate with UniBasel HPC and DBE IT services (network access, storage, permissions, security).
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Develop and maintain data pipelines including clinical data ingestion, pseudonymization, and secure transfer to cluster environments, in compliance with data security requirements and in collaboration with clinical IT partners.
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Manage group website updates and support digital communication tools.
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Oversee software licensing, hardware procurement, and inventory.
Your profile
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PhD in Computer Science, Machine Learning, Biomedical Engineering, or a related field.
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Strong publication record in ML/AI or related areas.
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Solid programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and workflow tools (MLFlow, W&B).
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Experience with HPC or cloud compute environments.
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Interest in clinical or health data applications; experience with sensitive data handling is a plus.
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A high degree of independence and ability to drive projects forward proactively.
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Strong communication skills and comfort working in interdisciplinary teams.
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Fluent in English (spoken and written). German is an advantage but not required.
We offer you
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A research-focused role at the interface of machine learning, clinical medicine, and digital health.
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A collaborative and interdisciplinary environment with close ties to clinical partners.
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Access to state-of-the-art HPC computing infrastructure.
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Opportunities for career development in ML research, research engineering, and academic leadership.
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Flexible working arrangements and a supportive team culture.
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Employment conditions in accordance with the University of Basel.
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Application / Contact**
Please submit the following as a single PDF:
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CV
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Cover letter describing your research interests and relevant experience
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Contact information for 2–3 references
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(Optional) Links to GitHub/portfolio or previous technical work
Applications should be sent via the University of Basel application portal or directly to:
Prof. Dr. Ece Özkan Elsen**
**Department of Biomedical Engineering
University of Basel
Email: ece.oezkanelsen@unibas.ch