About this opportunity:
Are you ready to explore how Artificial Intelligence, including Generative AI (GenAI), can transform telecom network performance analysis? This master’s thesis at Ericsson offers you the chance to innovate in Radio Access Network (RAN) performance evaluation, using AI-driven techniques to enhance customer experience. You will work hands-on with anonymized lab and field data, applying advanced analytics to identify key performance indicators, detect anomalies, and even automate report generation. Alongside Ericsson’s RAN Services team in Stockholm, you’ll help shape the future of network intelligence.
What you will do:
The skills you bring:
If you want to see your research turn into real-world impact and help redefine how next-generation networks are monitored and improved, this thesis opportunity is for you
Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world’s toughest problems. You´ll be challenged, but you won’t be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: Sweden (SE) || Stockholm
Req ID: 773397
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