Academic Research Assistant in Machine Learning (Mil-KI Project) | Akademische*r Mitarbeiter*in im Projekt Mil-KI (w/m/d) in Teilzeit (50%)
Hochschule Ravensb.-Weingarten Land BW
Job Summary
This part-time (50%) academic position is based at the Institute for Artificial Intelligence at RWU University of Applied Sciences. The successful candidate will work on the Mil-KI project, focusing on the end-to-end lifecycle of machine learning models. Day-to-day responsibilities include data analysis, the creation of datasets, and the implementation of robust data pipelines. A significant portion of the role involves selecting, implementing, and optimizing learning algorithms specifically for time-series forecasting. Additionally, you will evaluate various approaches to enhance the explainability of AI-based results. This role is ideal for a researcher with a strong foundation in Deep Learning who enjoys bridging the gap between theoretical algorithmic development and practical implementation. The position offers the stability of the TV-L public service salary scale, flexible working conditions, and the opportunity to contribute to cutting-edge AI research in a highly scenic and economically strong region of Germany.
Required Skills
Education
Successfully completed Bachelor's degree in Computer Science
Experience
- Professional experience in Machine Learning and Deep Learning methodologies
- Proven experience in Python programming for technical applications
- Professional experience in requirement analysis and definition
- Experience in project management within a technical or academic context
- Experience defining test methods and metrics for algorithmic evaluation
Languages
Additional
- Fixed-term contract until January 31, 2028; Located in Weingarten, Germany; Part-time position (50% workload).
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