ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
ApplyBlast uses AI to match you with the right jobs, tailor your resume and cover letter, and apply automatically so you can land your dream job faster.
© All Rights Reserved. ApplyBlast.com
Ericsson
This role involves conducting a master's thesis to investigate how neural-network-based AI receivers can adapt to changing wireless conditions in live radio access networks. The position focuses on exploring unsupervised and self-supervised online adaptation strategies for physical shared channel receivers to maintain performance without labeled training data. The work includes reviewing research, analyzing field-trial data, and designing online adaptation methods to evaluate against static baselines.
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.
30% above the average for this role
Data Scientist
CACI
Master Thesis - Approximative Computing for CNNs
Axis Communications
Technical Lead
DeepSig Inc
Part Time Professor 2027 Winter CEG4195/SEG4180
University of Ottawa
Associate AI/ML Communications Research Engineer
Carnegie Mellon University
Master's Thesis: Computer Vision for Manual Assembly Activity Identification
Volvo Group