Research Positions
We are recruiting research staff for revealing how the brain works and creating brain-inspired adaptive systems.
We specifically invite applications to the following research topics:
- Developing learning algorithms for optical quantum neural networks
Moonshot Project on Optical Quantum Computers (reference)
For the following research topics, we currently do not have an opening but accept applicants with own funding:
- 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)
- Embodied evolution of reward functions and meta-learning algorithms (reference)
Smartphone Robot Project
If you are interested, please register your CV, publication list, research statement, and the names and e-mail addresses of up to 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.
