Research Positions
We are looking for a postdoctoral scholar, staff scientist, and technical staff who are interested to know how the brain works and to create autonomous adaptive agents. We specifically invite applications to the following research topics:
- Theory and experimental investigation of Bayesian inference and reinforcement learning by the cortex, basal ganglia, and neuromodulator systems
• Unified Theory of Prediction and Action (reference)
- Data-driven construction of neural network models and large-scale simulation
• Brain/MINDS 2.0 Digital Brain Project, (reference)
- Application of wearable devices for monitoring mind and body state to support healthy life
• Bioconvergence Center of Innovation
- Flexible and robust reinforcement learning and meta-learning algorithms (reference)
- Development of smartphone robots for multi-agent learning and embodied evolution (reference)
If you are interested, please register your CV, research statement, publication list, and the names and e-mail addresses of three referees using the application form.
If you are interested to join as a PhD student or an intern, please apply from the Graduate School admission site.
