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Université de Lorraine

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PhD Position in Automatic Control: Heterogeneity in Federated Learning, Open Multi-Agent Systems Approach Université de Lorraine in France

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

France

University

Université de Lorraine

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Keywords

Computer Science
Electrical Engineering
Information Technology
Mathematics
Federated Learning
Automatic Control
Optimisation
Applied Mathematic
Multi-agent System
ML

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About this position

PhD position in automatic control at Université de Lorraine in Nancy, France, within the Control Identification Diagnosis (CID) Department, CRAN.

The project focuses on heterogeneity in federated learning using an open multi-agent systems approach, bringing together ideas from control theory, machine learning, optimization, and applied mathematics.

Eligibility: applicants should hold a Master's or engineering degree in automatic control, machine learning, optimization, or applied mathematics, and have strong programming skills.

Funding: not specified in the post.

Deadline: rolling basis until filled.

Interested candidates should apply as soon as possible through the advertised application route.

Funding details

Available

What's required

Master's or engineering degree in automatic control, machine learning, optimization, or applied mathematics. Strong programming skills are required.

How to apply

Apply now via the post's application link or portal. The position is open on a rolling basis until filled.

More information can be found here

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