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Aix-Marseille University

PhD Opportunity in Explainable AI and Biomedical Data Analysis at AMU-C2VN, Marseille Aix-Marseille University in France

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

France

University

Aix-Marseille University

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Keywords

Computer Science
Biology
Mathematics
Artificial Intelligence
Medical Science
Explainable Ai
Statistics
Bioinformatic
Applied Mathematic
Machine learning

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About this position

PhD opportunity in Explainable AI at AMU-C2VN, Marseille, France, within the ANR LOGIX Project. The project is focused on developing explainable AI methods that combine machine learning, symbolic reasoning, and biomedical data analysis to build clinically interpretable AI models that can support personalized treatment decisions.

This opening is well suited to candidates with a background in Computer Science, Artificial Intelligence, Applied Mathematics, Bioinformatics, or a closely related field. An interest in interdisciplinary research is specifically encouraged, especially work at the interface of AI and biomedical applications.

The position is a 3-year PhD starting around October-November 2026. The post does not mention a deadline, stipend amount, or tuition coverage, but it is presented as a recruited doctoral opportunity within a funded research project.

To apply, candidates should email their documents to [email protected] and [email protected]. Required materials include a motivation letter, grades/transcripts, a recommendation letter from the previous supervisor, and contact details of the previous supervisor.

Academic keywords: explainable AI, machine learning, symbolic reasoning, biomedical data analysis, clinically interpretable models, personalized treatment, interdisciplinary AI research.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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