We offer the supervision of

  • Bachelor theses
  • Master theses

The topics are usually based on current research areas we are working on. You will gain insights into state-of-the-art research topics and have the possibility to actively contribute to science. You can write the thesis in English or German.

You can apply for

  • Proposed topics: see below
  • Own topics: We will be happy to receive your own ideas for a topic.
  • Topics in cooperation with a company.

You may apply any time. We will usually get back to you within three weeks. Students whose applications have been accepted have to start writing their thesis within four months. For more details about the allocation procedure, please read this overview.

To apply, please send the following documents to hrm∂

  • Transcript of records (a full transcript of all courses, not only the courses you have passed)
  • Starting date (date that you plan to begin your thesis)
  • Desired topic or a short exposé if you would like to propose your own topic or write your thesis in cooperation with a company. Please name several topcis if possible and state your preference for each topic.

To prepare our students optimally, all students writing their thesis participate in our colloquium.

For general questions about writing a thesis at the Chair of Human Resource Management, please contact Paul M. Gorny.

In particular, we welcome own topics in the following subject area:
Artificial intelligence (AI) and robotics are already entering the professional lives of many employees in a wide variety of fields. Research often focuses on how technology and people can interact effectively and increase job satisfaction and health. We are additionally interested in how the introduction of these new technologies changes the way people work together, what the effects on performance are, and how these technological achievements rank in terms of their effects on the world of work relative to other measures in organizations and companies. So, if you find AI and robotics exciting, want to get involved with experimental or other empirical research, feel free to contact Paul M. Gorny on your own initiative.

Topics (German/English)


Connection of economic experimental software with IoT applications
Laboratory experiments have become a methodological standard in economics. Recently, with the advent of smartphones, biosensors and so-called Internet-of-Things (IoT) applications, experimental software can be adapted to answer research questions surrounding these tools. How can stress be reduced, measured with ECGs or pupil dilation? Is information from an MQTT production system relevant for the decision-making of employees in production? Can gyroscope data from smartphones be used for experiments that focus on physical activity? Traditionally, experimenters found isolated solutions that are specific to their device and question. This project aims to develop a connection (stack memory, or “stack”) between the IoT platform ThingSpeak from Mathworks and the experimental software oTree. You will develop the basic core of the software in a team of 3-5 students. Then you choose an individual application (smartphone sensors, eye trackers, an MQTT system, etc.) for your thesis, which you combine with a simple experiment using the core tool for a proof of concept.