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
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