Academic Staff Member in the Mil-KI Project (Part-time 35%) | SteA47/2025 - Akademische*r Mitarbeiter*in im Projekt Mil-KI (w/m/d) in Teilzeit (35%)
Hochschule Ravensb.-Weingarten Land BW
Job Summary
This part-time (35%) academic staff position involves developing AI tools for data-driven decision-making in dairy farming. The role focuses on data analysis, creating datasets, and implementing data pipelines. A key responsibility is selecting, implementing, and optimizing machine learning algorithms for time series forecasting, alongside integrating various approaches into ML algorithms. The position also requires evaluating methods to enhance the interpretability of AI-based results. Ideal candidates will possess a Bachelor's degree in Computer Science, Electrical Engineering, or a related field, coupled with strong knowledge in Machine Learning and Deep Learning, and excellent Python programming skills. This role offers the chance to contribute to a project aimed at improving animal welfare, resource efficiency, and profitability in agriculture, within a family-friendly university environment.
Required Skills
Education
Bachelor's degree in Computer Science, Electrical Engineering, or comparable field
Experience
- Professional experience in data analysis and pipeline implementation
- Experience with machine learning and deep learning algorithms
- Experience in evaluating AI-based results
Languages
Additional
- Not specified
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