Hybrid AI/ML Testing – Working Student

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About the role

  • Working Student in Verification department extending AI/ML use in testing for 5G technology. Development, training, and testing of AI models to discover potential malfunctions in 5G systems.

Responsibilities

  • Develop an AI model for bug finding in Nokia gNB based on internal logs
  • Defining neuronal networks for log file analyses with nlp methodology.
  • Preprocess data sources for neuronal network training and querying
  • Train the AI model based on expected messages exchanges between networks elements
  • Test the AI models on different log types of simulated and real environment systems reproduced in laboratory

Requirements

  • Master’s/Bachelor’s student in Germany and target to be on-site in Ulm regularly
  • Hands-on AI/ML knowledge (with focus on NLP, neuronal networks)
  • Basic knowledge of 5G Mobile Networks
  • Good programming skills in Python (preferably with knowledge in tensorflow, pandas and flask)
  • Experiences on unix/linux bash
  • SW development or testing experience (preferable: telecommunications background)
  • Creativity, proactivity and ability to work independently
  • Fluent in English
  • Availability for at least six months
  • Preferred Fields of Study:
  • Engineering
  • Telecommunications
  • Information Technology
  • Computer Science / Electronics

Job title

AI/ML Testing – Working Student

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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