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Student trainee/Internship/Master Thesis (m/w/d) Artificial neuronal networks

Job title

Student trainee/Internship/Master Thesis (m/w/d) Artificial neuronal networks

Company

FDTech, Chemnitz, Wolfsburg

Purpose

Analysis on Interpretability of artificial neural networks

Description

  • Research on interpretability of neural networks
  • Development of a methodology to extract rules and visualizations from a given neural network
  • Application of the methodology to a sample network
  • Evaluation of the results with appropriate metrics and references

Qualification

  • Studies of mathematics, informatics, or any technical program
  • Theoretical and practical knowledge of machine learning, especially artificial neural networks
  • First experiences with deep learning technologies like Tensorflow, Torch, Caffe, …

Skills

  • Analytical and conceptual thinking
  • Strong team and communication skills
  • High degree of personal responsibility and initiative
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Our expertise lies in developing automated driving functions for mobility solutions from the concept phase and prototyping to systems integration - always with a keen eye on feasibility for series production.

FDTech GmbH

Bornaer Straße 205
09114 Chemnitz

 

Application form

You would like to get to know us? You want to become a part of our team and send us an application? Please send an email to careers@fdtech.de

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