PhD Researcher in Immersive Virtual Reality and Decision-Making

17 hours ago


Kongens Lyngby, Lyngby-Tårbæk Kommune, Denmark DTU - Technical University of Denmark Full time
Understanding Human Behaviour in Complex Scenarios

We are seeking a highly skilled PhD researcher to join our team at DTU Management. The successful candidate will explore how we can leverage immersive virtual reality experiments to better explain and predict human decision-making.

This research position is part of the IMMERSION project, which aims to advance the study of human decision-making by developing new innovative methods for combining choice and process data.

Key Responsibilities:
  • Design, implement, and conduct non-immersive and immersive experiments to analyse human decision-making in hypothetical and futuristic scenarios.
  • Employ and develop advanced modelling approaches at the interface of economics, cognitive psychology, and statistics to analyse collected data consisting of both choice and process data.
  • Formulate new modelling approaches for explaining and predicting human decision-making using both choice and process data.
  • Collaborate with team members and international research partners.
  • Publish research findings in leading journals.

The ideal candidate must have a two-year master's degree or a similar degree with an academic level equivalent to a two-year master's degree. Specifically, we seek applicants with a master's degree in economics, neuroeconomics, behavioural economics, behavioural science, psychology, cognitive psychology, human-centric computing, human-computer interaction, human factors, transport science, urban studies, architecture, or similar.

  • Excellent quantitative and analytical skills.
  • Interest in human decision-making and behavioural science.
  • Experience in statistical modelling and data analysis; ideally experience with quantitative models of human decision-making such as discrete choice models, sequential sampling models, or similar.
  • Proficiency in a programming language such as Python, Julia, or R for data analysis and model development.
  • Strong written and oral communication skills in English.


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