Postdoctoral Researcher in Machine Learning & Pediatric Health (80-100%)
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 position
Research (approx. 80%)- Lead and contribute to ML/AI research projects and publications together with PhD students and other postdocs.
- Participate in collaborative projects with clinical and technical partners.
- Support PhD students, master students or interns with data preparation, prototyping, and code organization.
- Build and manage containerized environments (Docker, Singularity) and orchestrate jobs via SLURM.
- Contribute to MLOps infrastructure (experiment tracking, logging, reproducible setups).
IT Administration (approx. 20%)
- Maintain local group IT infrastructure.
- Coordinate with UniBasel HPC and DBE IT services (network access, storage, permissions, security).
- 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.
- Manage group website updates and support digital communication tools.
- Oversee software licensing, hardware procurement, and inventory.
Your profile
- PhD in Computer Science, Machine Learning, Biomedical Engineering, or a related field.
- Strong publication record in ML/AI or related areas.
- Solid programming skills in Python; experience with ML frameworks (PyTorch, TensorFlow) and workflow tools (MLFlow, W&B).
- Experience with HPC or cloud compute environments.
- Interest in clinical or health data applications; experience with sensitive data handling is a plus.
- A high degree of independence and ability to drive projects forward proactively.
- Strong communication skills and comfort working in interdisciplinary teams.
- Fluent in English (spoken and written). German is an advantage but not required.
We offer you
- A research-focused role at the interface of machine learning, clinical medicine, and digital health.
- A collaborative and interdisciplinary environment with close ties to clinical partners.
- Access to state-of-the-art HPC computing infrastructure.
- Opportunities for career development in ML research, research engineering, and academic leadership.
- Flexible working arrangements and a supportive team culture.
- Employment conditions in accordance with the University of Basel.
Please submit the following as a single PDF:
- CV
- Cover letter describing your research interests and relevant experience
- Contact information for 2–3 references
- (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 ElsenDepartment of Biomedical Engineering
University of Basel
Email: ece.oezkanelsen@unibas.ch
