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© All Rights Reserved. ApplyBlast.com
Ericsson
This thesis explores a self-distillation framework where a large tabular foundation model acts as a teacher to guide progressively smaller models, aiming to maintain high accuracy while reducing latency, energy use, and model size for mobile networks. The role involves designing a pipeline that adapts to incoming data and tasks under realistic conditions, implementing the framework, and evaluating it on real-world datasets. The candidate will analyze trade-offs among accuracy, adaptation speed, computational cost, model size, and interpretability, and present findings in a written thesis and at Ericsson Research.
Ericsson is a Swedish multinational telecommunications company that designs, builds and operates mobile and fixed broadband networks and sells related equipment and services to carriers and enterprises. Its offerings span radio access networks (RAN), 5G core and transport, cloud‑native software, OSS/BSS, managed services, private networks, and IoT solutions, with a strong emphasis on 5G deployment and network automation. Ericsson combines hardware, software and professional services to support large‑scale network rollouts, optimization and operation worldwide. It is a major contributor to telecom standards and R&D, widely chosen for its global scale, patent portfolio and carrier expertise.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Ericsson.
Ericsson didn’t post a salary, so this is our estimate from similar listings.
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