Post-doctoral position Computational Neuroscience, Moreno-Bote Lab

We are looking for excellent post-doctoral candidates with Physics, Mathematics or Machine Learning background, ideally with knowledge of Neuroscience or Computational Neuroscience, and interested in theory and applications. The publication record of the candidate should be very strong in his/her respective discipline. The candidate will develop state of the art theory and models of primate navigation in virtual 3D environments with detailed optic flow signals, using the tools of stochastic optimal control and RL.

The main research topic of our lab is decision-making, from a multidisciplinary angle. The candidate will benefit from the stimulating environment of the Barcelona area in Theoretical and Systems Neuroscience and will have the opportunity of enjoying a lively city. Our lab (https://www.upf.edu/web/tcn ) forms part of a larger network of neuroscience labs in Barcelona. Financial support is provided by the NIH (pending), the Howard Hughes Medical Institute (HHMI) and the Spanish Ministry of Science and Innovation and State Research Agency (AEI) ref. PID2020-114196GB-I00/AEI/10.13039/501100011033

*In collaboration with Gregory C. DeAngelis (U of Rochester) and Jan Drugowitsch (Harvard)* We are looking for strong post-doctoral candidates interested in joining the group of Theoretical and Cognitive Neuroscience, Ruben Moreno-Bote lab.