Are you excited about using data and AI to improve children’s health? Join us at the University of Basel and help shape the data and AI backbone for making a real-world impact in child health.
We are looking for a motivated and curious PhD candidate to join the newly forming research group Analytics and Informatics for Child Health (AICH) at the Department of Biomedical Engineering. The position is embedded in the Basel Research Centre for Child Health (BRCCH) - a dynamic, interdisciplinary environment where engineers, clinicians, and scientists collaborate to solve challenges in pediatric healthcare.

Your position

Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical challenges. Our core research topics include but not limited to the following topics:

• Interpretability and explainability of AI models in clinical settings
• Fairness and bias mitigation in pediatric AI applications
• Multimodal data integration and prediction, including clinical, medical imaging, and sensor data (e.g. ECGs)

The PhD candidate will have the opportunity to conduct both methodological and applied research, contribute to publications and conference presentations, and participate in interdisciplinary activities within the BRCCH and the University of Basel.

Your profile

• Master’s degree in Computer Science, Data Science, Biomedical Engineering, Statistics, or a related field
• Strong background in AI/ML methods
• Programming experience in Python and relevant frameworks (e.g. pytorch, weights&biases, high-performance cluster)
• Interest in clinical and biomedical applications of AI
• Strong motivation, curiosity, and collaborative spirit
• Fluency in English

We offer you

• A research environment at the forefront of AI in healthcare, embedded in a world-class pediatric research center
• A chance to be part of the newly established Analytics and Informatics for Child Health (AICH) group - a dynamic and collaborative team driven by curiosity, impact, and openness
• Close collaboration with pediatric clinicians and access to unique multimodal datasets
• Opportunities for professional development, conference travel, and training
• A fully funded PhD position for up to 4 years in line with employment conditions of the Swiss National Science Foundation (SNSF)
• A dynamic and interdisciplinary setting in Basel, one of Europe’s leading life sciences hubs

For further information about the position, please contact Prof. Dr. Ece Ozkan Elsen (email: ece.oezkanelsen@ unibas.ch ). Please submit your application as PDF via the online portal, including your CV, a motivation letter (max. 1 page), diplomas and transcripts, and contact details of two referees.

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