Publisher
source

FAIR (Meta) Paris

3-year PhD in Machine Learning and Computational Neuroscience at FAIR (Meta) Paris FAIR (Meta) Paris in France

Degree Level

PhD

Field of study

Computer Science

Funding

A 3-year PhD position is advertised. No stipend, tuition, or other funding details are provided in the post.

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Country

France

University

FAIR (Meta) Paris

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Keywords

Computer Science
Biology
Artificial Intelligence
Neuropsychology
ML

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About this position

FAIR (Meta) Paris is advertising a 3-year PhD position starting this fall/winter in the area of machine learning, computer science, artificial intelligence, and computational neuroscience.

The post highlights that the ideal candidate should have a strong ML/CS/AI background and a deep interest in computational neuroscience. This is a research-oriented PhD opportunity at the intersection of AI and neuroscience, suitable for applicants interested in building models, studying brain-inspired computation, or working on neuroscience-informed machine learning.

The announcement is shared by Jean-Rémi King, a researcher at Meta AI. The post does not provide stipend, tuition, or other funding specifics, but it clearly refers to a PhD opening rather than a scholarship programme.

No deadline is mentioned in the post. Applications should be submitted through the Meta Careers job link provided in the post.

Funding details

A 3-year PhD position is advertised. No stipend, tuition, or other funding details are provided in the post.

What's required

Strong background in machine learning, computer science, or artificial intelligence, with a deep interest in computational neuroscience. The post does not mention prior neuroscience experience as mandatory, but it is clearly relevant and likely preferred.

How to apply

Use the Meta Careers application link in the post to open the job details page and submit an application there. Review the posting for any additional instructions or required materials.

More information can be found here

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