The Rationality Enhancement Group has several openings for (paid) internships, bachelor/master theses (in cognitive science, computer science, psychology, and other related disciplines) and research assistants. If you are interested please take a look at the projects described below. To apply for one of these projects Please send your application (name of position, CV, motivation letter, transcripts, publications if applicable) as a single PDF to firstname.lastname@example.org. Only complete applications will be considered. Please put the title of the project you are applying for in the subject header.
Self-improvement apps:We make thousands of decisions every day but we don't always learn from our mistakes. This project investigates whether apps that prompt people to reflect on their decisions, problems, successes, and failures can help people improve themselves more rapidly. Previous experience with online and/or field experiments or skills in web development or mobile app development would be a great asset for this project.
Optimal Goal Setting.Goals are essential to human effectiveness. But which goals should we set, and how should we go about setting them? In this project, we address this question through a combination of computational modeling and behavioral experiments. You should have strong programming skills and prior experience with computational modeling and behavioral experiments is plus.
Helping people set better goals.In this project we investigate which kinds of goal setting prompts are most effective at helping people set better goals. We will conduct a series of online and field experiments to find out which types of goals are most effective, identify effective goal setting strategies, and investigate how people can learn to set better goals. You should have good programming skills and prior experience with designing and/or running psychological experiments and data analysis. Previous experience with online and/or field experiments or skills in web development would be a great asset for this project but are not required.
Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems