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MINES Paris - PSL

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Fully Funded PhD in AI for Longitudinal Health-Trajectory Modeling Mines Paris - PSL in France

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded three-year PhD project.

Deadline

Sep 5, 2026

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Country

France

University

MINES Paris - PSL

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Keywords

Computer Science
Biomedical Engineering
Mathematics
Artificial Intelligence
Digital Health
Salud Pública
Statistics
Applied Mathematic
ML

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About this position

Fully funded PhD opportunity in AI for longitudinal health-trajectory modeling at the Centre for Computational Biology (CBIO), an interdisciplinary research centre jointly affiliated with Mines Paris – PSL and Institut Curie in central Paris, France.

The project sits at the intersection of artificial intelligence, machine learning, computer science, applied mathematics, statistics, and digital health, with a strong emphasis on translational and clinical impact. The post is aimed at candidates who want to develop cutting-edge AI methods for modeling health trajectories over time.

Funding is described as fully funded for three years. The post encourages applications from groups historically underrepresented in AI research.

Eligibility highlights include a strong background in one or more of the following: machine learning, computer science, applied mathematics, statistics, or digital health. The announcement does not specify a named supervisor beyond the poster, Eloïse Berson, a tenure-track professor at Mines Paris - PSL and Institut Curie.

Deadline: September 5th. Applications are reviewed on a rolling basis until the position is filled, so applicants should apply as soon as possible using the project description and application instructions included in the post.

Funding details

Fully funded three-year PhD project.

What's required

Applicants should be motivated to advance cutting-edge AI methods for translational and clinical impact. A strong background in machine learning, computer science, applied mathematics, statistics, or digital health is encouraged. The post is for a PhD student and is reviewed on a rolling basis until filled.

How to apply

Review the short project description and application information provided in the post image, then apply as instructed. Applications are reviewed on a rolling basis until the position is filled, so early submission is recommended.

More information can be found here

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