Student positions as data cleaners

The Pan African Programme (MPI-EVA, Department of Primatology) is looking for assistance with data cleaning associated with camera trap videos. The Pan African Programme: The Cultured Chimpanzee (PanAf) aims to understand the cultural differences between multiple wild chimpanzee populations. Our many projects involve genetics, socio-demographics, behavior and ecology. A part of our data set is made up of habitat survey from more than 39 sites across Africa.


  • Clean the habitat survey data using R
  • Ensure that the data entered in the associated Excel table, i.e. location data, habitat data, species names, coordinates and other relevant details about the habitat plots are consistent with handwritten data sheets and free of errors <>·This involves being able to use R at an “advanced beginner” level (e.g. able to open a file, understand a basic R script, indexing)
  • Being able to work independently and make decisions, while communicating with a team.
  • Attention to detail
  • Capacity to handle data in multiple formats at the same time
  • Understand that the job is tedious and repetitive

Additional Helpful Skills:

  • Basic knowledge of the R dplyr package
  • Interest in tropical botany
  • A general knowledge of African habitat types
  • Capacity to make maps (either in QGIS or in R)

Terms of employment:

The position begins as soon as possible for 5 months, extension possible. Students will be hired for 80 hours/month and are required not to have any other job for that time.


Please send an email that includes your availability (start date and possible end date and any time off you would need in between), your CV, your enrollment certificate at the university for summer semester 2018 and winter semester 2018/2019, and a brief statement of intent that details why the position is of interest to you and why you think you would be capable to do the work.

The position pays 10.14 EUR/h (for undergraduates) and 11.79 EUR/h (for bachelor degree holders)


Gaelle Bocksberger ( and use “Data Cleaning student assistant” in the subject line


If you are looking to volunteer with with the PanAf please visit and become a PanAf citizen scientist!