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
Country
France
University
Université de Lorraine

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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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