Master Thesis: Anomaly Detection in Telecommunications Logs Using Energy-Efficient AI
Luleåonsite
Posted 3w ago · via Eightfold
About this role
Join our Team About the opportunity Ericsson is a world-leading provider of telecommunications equipment and services, supporting mobile and fixed networks in more than 180 countries. Our global, innovative, and collaborative environment gives employees and students the opportunity to work on challenging problems that shape the future of communication networks. As next-generation networks generate an increasing volume of system logs, manual monitoring is no longer feasible. Although deep-learning methods can detect anomalies with high precision, they may also require substantial computational resources and energy.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: go, docker, scikit-learn, pytorch, tensorflow…
2
Level fit
We check your title trajectory against the seniority signal of the role.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in Luleå. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
godockerscikit-learnpytorchtensorflowkeras
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