Postdoc: Topology Design in Decentralized Federated Learning

1000scholars; Valbonne; On-site; EUR 33,000 - 47,000; Full time

Job summary

1000scholars in France seeks a postdoctoral researcher to advance topology design for decentralized federated learning within the FedMalin/NEO framework. You will work with leading researchers on stochastic optimization and network science.

The role emphasizes rigorous research, collaboration, and potential teaching supervision of PhD/Master students; strong mathematical and ML background is expected.

Qualifications

• PhD in a relevant field is required.
• Strong mathematical and analytical skills.
• Experience in ML and practical programming is essential.

Responsibilities

• Conduct research on topology design for decentralized federated learning.
• Collaborate with the NEO project-team and FedMalin researchers; disseminate results.

Skills

Mathematical background

Machine learning

Programming

Education

PhD in Applied Mathematics or Computer Science

Tools

PyTorch

TensorFlow

Job description

1000scholars in France seeks a postdoctoral researcher to advance topology design for decentralized federated learning within the FedMalin/NEO framework. You will work with leading researchers on stochastic optimization and network science.

The role emphasizes rigorous research, collaboration, and potential teaching supervision of PhD/Master students; strong mathematical and ML background is expected.