Publisher
source

TELECOM ParisTech

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Fully Funded PhD in Computer Science: Graph Signal Processing and Graph Machine Learning Télécom Paris in France

Degree Level

PhD

Field of study

Computer Science

Funding

Fully funded PhD position supported by the PARIS-funded SIGMA project. The post mentions rolling review and may close once a suitable candidate is found; no stipend amount is stated.

Deadline

Dec 31, 2026

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Country

France

University

TELECOM ParisTech

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Keywords

Computer Science
Data Science
Signal Processing
Electrical Engineering
Information Technology
Mathematics
Python Programming
Statistics
Applied Mathematic
ML

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About this position

Fully funded PhD position in Computer Science at Télécom Paris and Télécom SudParis in France, within the MM Team at LTCI and the ARMEDIA Team at SAMOVAR.

The project is part of the PARIS-funded SIGMA initiative and focuses on graph signal processing and graph machine learning. This is a strong fit for candidates interested in computational methods, data-driven modeling, and mathematically grounded machine learning.

Eligibility: MSc/M2 or equivalent in computer science, data science, engineering, applied mathematics, signal processing, statistics, or a related field. Applicants should have strong mathematical foundations and practical skills in Python and PyTorch; prior background in signal processing and machine learning is preferred.

Funding: The position is fully funded. No stipend amount is specified in the post.

Application: Send your CV, one-page motivation letter, transcripts, and at least one recommendation letter by email to the listed supervisors. Applications are reviewed on a rolling basis and may close once a suitable candidate is found. The stated deadline is 2026-12-31.

Funding details

Fully funded PhD position supported by the PARIS-funded SIGMA project. The post mentions rolling review and may close once a suitable candidate is found; no stipend amount is stated.

What's required

Applicants should have an MSc/M2 or equivalent in computer science, data science, engineering, applied mathematics, signal processing, statistics, or a related field. Strong mathematical foundations and Python/PyTorch skills are required, and a background in signal processing and machine learning is preferred.

How to apply

Email your CV, one-page motivation letter, transcripts, and at least one recommendation letter to the three listed supervisors. Apply as soon as possible because applications are reviewed on a rolling basis.

More information can be found here

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