TOPML – Trading Off Non-Functional Properties of Machine Learning

Job-Advertisement of several research assistant positions

We have multiple research assistant jobs available with up to 8 hours per week. The research assistants will work on the research project "TOPML - Trading Off Non-Functional Properties of Machine Learning", funded by the Carl-Zeiss-Stiftung at the Institute of Computer Science.

In the project we analyze the interactions and dependencies of different properties of machine learning (fairness, transparency, privacy and resource-efficiency).


We investigate transparency and fairness of data and algorithms, as well as data protection requirements and efficient use of resources such as electricity. A strong focus will be given to their competing needs. Example questions are: How decentralized can data be stored and processed to protect privacy? To what extent does decentralization affect the transparency of algorithms and data? What impact does this have on energy consumption?



What you can expect:

  • current research questions to socially and economically relevant topics
  • strong support during the introductory phase and flexible working topics
  • individual supervision
  • Opportunity thematically place one’s bachelor or master thesis in the project
  • integration into the different subprojects (see )

Did we catch your interest? Or do you have questions? Send us an informal mail, Teams message with a short list of your interests and background knowledge (e.g. attended courses) or meet us in our offices!