This challenge awaits you:

Artificial intelligence is becoming the world's leading technology. However, it also poses significant challenges in terms of data protection.
IAV is integrating AI into its latest developments to improve existing systems. The main objective of this master's thesis is to improve the software testing approach. We plan to use AI to understand sources of error in project requirements and log files.

Your Tasks:

• You will work with advanced algorithms in an emerging field, such as NLP
• You will conduct literature research on current scientific findings to identify technological gaps and help close them through technical conception, design, and implementation of a prototype
• You will work with both open source and internal data sets

Necessary Skills:

• Ongoing master's degree in computer science, data science, or a similar field of study
• Good knowledge of at least one programming language, preferably Python
• Practical experience with at least one deep learning framework, e.g., Tensorflow, Pytorch, etc.
• Theoretical and practical experience with deep learning algorithms as well as basic algorithms and data structures
• German or English, both languages are fine, there are no restrictions

Desired Skills:

• Passion and curiosity for unexplored problems
• Independent, creative, and structured way of working

The remuneration is based on our collective agreement and pay scale. The current monthly remuneration for this position is EUR 979.