PhD Position in Artificial Intelligence and Pediatric Data Science
PhDFinderSwitzerland130 days ago
Full-timeResearch, Analyst +1
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University: University of Basel
Country: Switzerland
Deadline: Not specified
The University of Basel invites applications for a fully funded PhD position in Artificial Intelligence and Pediatric Data Science within the newly established Analytics and Informatics for Child Health (AICH) group, Department of Biomedical Engineering. This position is part of the Basel Research Centre for Child Health (BRCCH), offering a dynamic, interdisciplinary environment for impactful research at the intersection of AI, data science, and pediatric healthcare.
Key Responsibilities
– Conduct methodological and applied research in AI and machine learning for pediatric healthcare
– Focus on topics such as interpretability and explainability of AI models, fairness and bias mitigation in pediatric applications, and multimodal data integration and prediction (including clinical, imaging, and sensor data)
– Collaborate with clinicians and scientists, contribute to publications and conferences, and participate in interdisciplinary activities
Requirements
– 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 computing)
– Interest in clinical and biomedical applications of AI
– Strong motivation, curiosity, and collaborative spirit
– Fluency in English
We Offer
– A stimulating research environment within a world-class pediatric research center
– Opportunities for professional development, conference travel, and training
– Collaboration with pediatric clinicians and access to unique multimodal datasets
– A fully funded PhD position for up to 4 years, in accordance with Swiss National Science Foundation (SNSF) conditions
– A dynamic, interdisciplinary setting in Basel, a leading European life sciences hub
Application
Please submit your application as a single PDF via the online portal (https://jobs.unibas.ch/offene-stellen/phd-position-in-ai-and-pediatric-data-science/2fe1dc80-1edb-4598-b198-d9abc33d8afd), including your CV, motivation letter (max. 1 page), diplomas and transcripts, and contact details of two referees. For further information, contact Prof. Dr. Ece Ozkan Elsen at [email protected].
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
Country: Switzerland
Deadline: Not specified
The University of Basel invites applications for a fully funded PhD position in Artificial Intelligence and Pediatric Data Science within the newly established Analytics and Informatics for Child Health (AICH) group, Department of Biomedical Engineering. This position is part of the Basel Research Centre for Child Health (BRCCH), offering a dynamic, interdisciplinary environment for impactful research at the intersection of AI, data science, and pediatric healthcare.
Key Responsibilities
– Conduct methodological and applied research in AI and machine learning for pediatric healthcare
– Focus on topics such as interpretability and explainability of AI models, fairness and bias mitigation in pediatric applications, and multimodal data integration and prediction (including clinical, imaging, and sensor data)
– Collaborate with clinicians and scientists, contribute to publications and conferences, and participate in interdisciplinary activities
Requirements
– 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 computing)
– Interest in clinical and biomedical applications of AI
– Strong motivation, curiosity, and collaborative spirit
– Fluency in English
We Offer
– A stimulating research environment within a world-class pediatric research center
– Opportunities for professional development, conference travel, and training
– Collaboration with pediatric clinicians and access to unique multimodal datasets
– A fully funded PhD position for up to 4 years, in accordance with Swiss National Science Foundation (SNSF) conditions
– A dynamic, interdisciplinary setting in Basel, a leading European life sciences hub
Application
Please submit your application as a single PDF via the online portal (https://jobs.unibas.ch/offene-stellen/phd-position-in-ai-and-pediatric-data-science/2fe1dc80-1edb-4598-b198-d9abc33d8afd), including your CV, motivation letter (max. 1 page), diplomas and transcripts, and contact details of two referees. For further information, contact Prof. Dr. Ece Ozkan Elsen at [email protected].
Get the latest openings in your field and preferred country—straight to your email inbox. Sign up now for 14 days free: https://phdfinder.com/register
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