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KTH Royal Institute of Technology

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PhD Student Position in Information and Coding Theory for Federated Learning at KTH KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

No funding details are provided in the post.

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Electrical Engineering
Mathematics
Energy Efficiency
Federated Learning
Coding Theory
Resiliency
Statistics
Distributed System
ML

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About this position

KTH Royal Institute of Technology is advertising a PhD student position in information and coding theory for federated learning.

The project focuses on information theory, coding theory, and federated machine learning, with an emphasis on improving the resilience and efficiency of distributed learning systems when communication bandwidth is limited and nodes are unreliable.

This is a strong fit for applicants interested in theoretical and applied work at the intersection of computer science, electrical engineering, mathematics, and statistics. The post does not mention funding, stipend, or specific eligibility criteria, so interested candidates should check the linked vacancy page for full details.

Location: Sweden (KTH).

To apply, use the linked KTH vacancy page and follow the instructions provided there.

Funding details

No funding details are provided in the post.

What's required

No explicit eligibility requirements are stated in the post beyond the PhD topic in information and coding theory for federated learning.

How to apply

Open the linked KTH position page from the post and follow the application instructions there. Review the full vacancy details for eligibility, documents, and deadline before applying.

More information can be found here

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