Master Thesis Validation and Assessment of a Semi-Automated Prospective Life Cycle Assessment Pipeline
Master Thesis Validation and Assessment of a Semi-Automated Prospective Life Cycle Assessment Pipeline
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Job Description
- In your Master thesis you will perform prospective Life Cycle Assessments (LCA) using a semi-automated LCA model.
- You will critically evaluate the models effectiveness in handling uncertainties and highlight areas for improvement.
- Furthermore you will analyze and document your findings providing insights to support model refinement.
Qualifications :
- Education: Master studies in the field of Environmental Engineering Industrial Ecology or comparable
- Experience and Knowledge: solid understanding of LCA methodologies and industrial processes; familiarity with statistical methods and with the structure and use of the Ecoinvent database; basic knowledge of tools like Activity Browser or Brightway for conducting LCAs is desirable; Python programming skills are a plus
- Personality and Working Practice: you have an analytical mindset with strong problem-solving skills; you are detail-oriented and capable of working independently and systematically
- Languages: very good in English and good in German
Additional Information :
Start: October 2025
Duration: 6 months
Requirement for this thesis is the enrollment at university. Please attach your CV transcript of records examination regulations and if indicated a valid work and residence permit.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need further information about the job
Alexandra Belyaeva (Functional Department)
#LI-DNI
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
