Education: Master studies in the field of Mechanical Engineering, Environmental Engineering, Process Engineering, Industrial Ecology or comparable Experience and Knowledge: strong understanding of life cycle assessment (LCA) methodologies and industrial manufacturing processes; familiarity with the structure and usage of the Ecoinvent database; understanding of what the pedigree matrix is in the context of LCA and how it is used to assess data quality and uncertainty; basic knowledge of Activity Browser or Brightway for conducting LCAs is desirable; knowledge of relevant standards (e.g. ISO 14040/44), production processes, and energy types; Python programming skills are a plus Personality and Working Practice: you have strong communication skills, particularly in discussing technical concepts with experts; you are interested in technical topics; you demonstrate exceptional skills in independent and structured work, with attention to detail and you can effectively summarize as well as present research findings Languages: fluent in German and English