Research Assistant
Vor 6 Tagen
The Fraunhofer-Institut für Integrierte Schaltungen IIS is seeking a highly motivated student researcher to collaborate on research projects in AutoML. As a member of our team, you will work on interactive and explainable AutoML, interactive data labelling, and model monitoring for object detection and time series anomaly detection.
Key Responsibilities- Benchmark existing AutoML frameworks and extend them by implementing methods that allow interactive user input and methods that explain and visualize the AutoML process
- Conduct and summarize research on different topics related to AutoML and possibly interactive labelling
- Perform classical data science tasks such as data exploration, data cleaning, data analysis, and visualization
- Support us in practical Machine Learning industry projects and administrative tasks
- Currently studying computer science, mathematics, data science, or a related field
- Experience in Python (especially ML frameworks like PyTorch, sklearn, etc.)
- Worked with image data and/or time series data before
- Good understanding of concepts in ML and Statistics
- Interested in current ML research, AutoML, and explainable ML
- Show initiative and an independent way of working
- Excellent English skills or excellent German skills and solid English skills
- Flexible working hours
- Open and friendly team work
- Varied tasks with room for creativity
- Exciting seminars and events
- Networking with scientists
- Active contribution in applied research
We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation, and identity.
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