Student Assistant

The Max Planck Institute for Empirical Aesthetics in Frankfurt/Main, Germany, investigates the attentional, cognitive, and affective mechanisms of aesthetic perception and evaluation.

The Institute invites applications for a

Student Assistant (studentische Hilfskraft)
for 40 hours per month

to work under the DFG-funded research project The Forager Folklore Database (FFDB). This project involves analyzing the story content and structure of oral folktales in historical hunter-gatherer societies and creating a digital database of pertinent folktales.

Your responsibilities

The student assistant will be responsible of providing support in setting up the database. This includes:

  • retrieving books and conducting minor searches in relevant text collections, catalogues, and research literature;
  • data entry via the user interface of the database and assisting in organizing existing datasets;
  • assisting in generating digital full texts (scanning, OCR, editing).

Our requirements

  • academic concentration in the humanities or social sciences (preferably in literary studies and/or anthropology/ethnology);
  • basic prior experience with philological methods (bibliography, textual criticism/edition);
  • good proficiency in oral and written English and German.

Our offer

  • a highly interactive working atmosphere in an international, interdisciplinary research institute; 
  • a modern and well-equipped workplace in an attractive neighborhood with excellent infrastructure in Frankfurt’s Westend district;
  • the possibility of remote working.

This contract is initially limited to one semester (6 months) with the possibility of extension. 

The Max Planck Society strives for gender equality and diversity. We are also committed to increasing the number of individuals with disabilities in our workforce. Therefore, applicants of all backgrounds are welcome. 

Your application

Please send your application—including your cover letter, CV, certificate of study, and, if applicable, copies of degrees and/or certificates—in a single PDF file, before May 30, 2022, by e-mail to using the code SH011_2022 in the subject line.