Research Associate Data Science | Wissenschaftliche*r Mitarbeiter*in Data Science (w/m/d)

Job Summary

This role is for a Research Associate in Data Science at the Thünen Institute of Forest Economics in Hamburg-Bergedorf, focusing on enhancing the 'Wood Markets' division. The primary task involves developing a machine learning-based system to detect and correct errors in global trade data, specifically within the UN Comtrade database. This includes identifying data gaps, missing values, outliers, and bilateral asymmetries, followed by implementing systematic data cleaning and imputation methods. The successful candidate will be responsible for conceptualizing, implementing (preferably in Python), and documenting this system, ensuring its reusability for the institute's ongoing analyses. This position offers the chance to contribute to impactful research on international wood markets, requiring strong analytical, programming, and communication skills.