Why do people so often choose a smaller reward now over a larger one later – and how much can this be shaped? Working at the intersection of decision making  and data science, you will:

• Map research on time preferences in a structured literature review
• Analyse experimental choice data, from classic discounting models to machine learning
• Potentially explore complementary real-world data, e.g. from social media, using NLP and other data-science methods
• Contribute to writing the scientific paper and work with our international collaborators

You will also assist with the preparation of teaching and help with organisational tasks at the chair.

• Ideal PhD preparation: hands-on experience of the full research cycle, from data to paper
• The chance to co-author a paper aimed at a top journal, depending on your contribution
• The option to write your Master's thesis within the project
• Close personal mentoring
• Access to an international research network – valuable for your next academic step
• Flexible hours that fit your studies, on campus in Berlin or remote, and room for your own ideas