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Nokia Internship nonlinear noise estimation using machine learning 
France 
591007333

25.06.2024

What you will learn and contribute to

The future optical fiber communication networks will be more dynamic in routing traffic, choosing signaling schemes and controlling transmit power to enable maximum utilization of existing infrastructure. To achieve this, massive monitoring of various parameters that can affect system performance is required. Among these parameters is noise which can be broadly categorized as linear and nonlinear noise. An optimal performance can be achieved by maintaining a right balance of linear and nonlinear noise in the link. Therefore, estimation of these noise proportions is crucial.

As part of our team, you will:

  • Study research literature on nonlinear noise estimation and identify opportunities
  • Develop noise estimation methods and compare them against benchmark through simulations
  • Utilize the developed methods to perform launch power optimization
  • Participate in lab experiments to evaluate the proposed methods

Your skills and experience

You have:

  • Solid basis in optical telecommunications and/or signal processing
  • solid basis in Matlab (python or its equivalent)
  • Strong skills in data analytics and machine learning
  • Innovative and autonomous, you can work in a team environment and foster shared experiences
  • Strong spoken and written technical English

What we offer

The researcher position is based in Massy close to a major transportation hub.

Nokia has received the following recognitions for its commitment to inclusion & equality:

  • One of the World’s Most Ethical Companies by Ethisphere
  • Gender-Equality Index by Bloomberg
  • Workplace Pride Global Benchmark

Join us and be part of a company where you will feel included and empowered to succeed.
Job Info
  • Job CategoryCorporate Services
  • Posting Date12/07/2023, 06:06 PM
  • Locations12 rue Jean Bart, Massy, 91300, FR
  • Degree LevelCollege degree level 2 (Bachelor’s)
  • Job ScheduleFull time
  • Role TypeIndividual contributor
  • Job Identification
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    12 rue Jean Bart, Massy, 91300, FR

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