This challenge awaits you:
Artificial intelligence is on its way to becoming the world's leading technology. However, it brings with it the major challenge of data protection.
IAV has set itself the goal of integrating AI into its latest developments while protecting user privacy and data protection.
This applies in particular to training data provided by our customers that contains personal or sensitive information.
Your Tasks:
1. You will work with advanced algorithms in an emerging field, e.g., NLP, AWS
2. 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
3. You will work with both open source and internal data sets
Necessary Skills:
4. Ongoing master's degree in computer science, data science, or a similar field of study
5. Good knowledge of at least one programming language, preferably Python
6. Practical experience with at least one deep learning framework, e.g., Tensorflow, Pytorch, etc.
7. Theoretical and practical experience with deep learning algorithms as well as basic algorithms and data structures
8. German or English, both languages are acceptable, there are no restrictions
Desired Skills:
9. Passion and curiosity for unexplored problems
10. 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.
You won’t just be working anywhere as a student at IAV. You’ll be right in the middle of it all. Real projects. Exciting future tasks. Completely integrated and side-by-side with IAV experts. Lots of responsibility and at the same time lots of freedom, combining university and work. The result is the best prospects for your professional development. And attractive compensation in accordance with our company wage agreements.
Diversity and equal opportunity are important to us. What matters to us is the individual, with his or her character and strengths.