Ericsson
This role offers three master's thesis opportunities focused on developing machine-learning models for Integrated Sensing and Communication (ISAC) using modern radio networks. The projects address key operational challenges, including cross-location generalization for spectral image and time-series classifiers, and modular classifier design for multi-class object classification. Candidates will work on production machine learning problems, implementing and benchmarking domain-generalization and adaptation methods.
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
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and employee contacts for Ericsson.
Ericsson didn’t post a salary, so this is our estimate from similar listings.
4% below the average for this role
Master's Thesis
FA
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