Working Student in The Field of Machine Learning
vor 17 Stunden
Safe Intelligence — this forms the core brand of the **Fraunhofer Institute for Cognitive Systems IKS**. Connected cognitive systems drive innovation in many sectors, for example in autonomous vehicles, medical devices or intelligent automation within industry. They should always take full advantage of the potential offered by artificial intelligence, while remaining demonstrably safe and reliable at the same time. This is why Fraunhofer IKS researches both artificial intelligence and software engineering — we consider resilience and intelligence as part of the same process.
**What you will do**
**What you bring to the table**
- Knowledge in machine learning and computer vision
- Experience in python programming with numpy, pandas and deep learning frameworks
- Experience in software engineering and writing clean, maintainable code
- Familiarity with deep learning
- Interest in self-responsible scientific research and working in a team
- Good language skills in English
- Good communication and cooperation skills
- Knowledge in learning with few data and uncertainty estimation is a plus but not required
Especially suitable for students with the field of study in computer science, mathematics, engineering or similar areas.
**What you can expect**
- Participation in a dynamic team with innovative task areas
- Research on state-of-the art methods
- The possibility to publish your work
- Practical relevance for your studies
- A fair salary and flexible working time
- The duration of employment and working time is set by arrangement
With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.
Jens Gansloser
Fraunhofer Institute for Cognitive Systems IKS
Requisition Number: 63604 Application Deadline:
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