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

Weingarten, Württemberg, Baden-Württemberg, Deutschland
Published Feb 26, 2026
Part-time
Fixed-term

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

German (Fluent)English (Fluent)

Additional

  • Fixed-term contract until January 31, 2028; Located in Weingarten, Germany; Part-time position (50% workload).