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Offer 5 out of 106 from 20/03/26, 06:18

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Technische Universität Berlin - Faculty VII - Economics and Managements, Institute of Technology and Management / Innovation Economics

Research Assistant - 0.8 working-time

under the reserve that funds are granted

Your responsibilities:

Implementation of the activities within a Horizon Europe research project, including, among others

  • Conducting a systematic gap analysis of existing circular economy methodologies
  • Developing a microeconomic indicator framework to measure circular economy
  • Organizing the overall pilot testing of the framework at industry, municipal, and household level
  • Testing the framework at industrial level
  • Refining the framework based on pilot testing results
  • Preparing scientific publications, reports, and policy briefs
  • Supporting the development of training materials and toolkits
  • Participating in dissemination and stakeholder engagement activities at the European level
  • Support in acquiring additional research projects
  • Contribution to scientific publications and participation in scientific conference

Your profile:

  • Successfully completed university degree (Master, Diplom, or equivalent) in Economics, Business Administration, Political Science, Industrial Engineering, or related fields
  • Strong interest in applied research and standardization (preferably in the field of bioeconomy and circular economy)
  • Experience in implementing European or national projects in the field of circular economy bioeconomy or broader sustainability domain
  • Experience in development and moderation of co-creation events (workshops, participatory approaches) is preferred.
  • High level of commitment and self‑motivation, with the ability to work independently, and interest in pursuing a PhD related to the projects topics is desirable
  • Strong social and communication skills is desirable
  • Willingness to travel occasionally across Europe
  • Good knowledge of German and/or English required; willingness to acquire the respective missing language skills.
  • Italian is preferred
  • Knowledge of quantitative research methods and good command of statistical software (e.g., R, Stata) is an advantage

How to apply:

Please send your application, quoting the reference number, with the usual documents only by email to Prof. Dr. Knut Blind (sekretariat@inno.tu-berlin.de).

By submitting your application via email you consent to having your data electronically processed and saved. Please note that we do not provide a guaranty for the protection of your personal data when submitted as unprotected file. Please find our data protection notice acc. DSGVO (General Data Protection Regulation) at the TU staff department homepage: https://www.abt2-t.tu-berlin.de/menue/themen_a_z/datenschutzerklaerung/.

To ensure equal opportunities between women and men, applications by women with the required qualifications are explicitly desired. Qualified individuals with disabilities will be favored. The TU Berlin values the diversity of its members and is committed to the goals of equal opportunities. Applications from people of all nationalities and with a migration background are very welcome.