The project will focus on developing reinforcement learning (RL) models to understand internal cognitive processes (in particular perception, and perceptual multistability; for example, see, Safavi and Dayan, Neuron 2022 and BioRxiv 2024). In the course of the project, we, together, will develop decision-theoretic models, for instance, based on partially observable Markov decision processes (POMDP), and assess them with psychophysical experiments, and will have the possibility to analyze neural data recorded from animals while doing similar tasks to understand the neural implementation of these computations.

https://docs.google.com/document/d/1qyuPbNznU9u0tLOuja_SuA0W3bTrz63LXlcwJ9mEi_4/edit?tab=t.0

Interested applicant can also send their application to DIGS-ILS (an structured PhD program in Dresden) - but deadline is slightly earlier May 6th.

https://www.digs-ils.phd/join/phd-positions

If you consider applying for DIGS-ILS, please also send your application via the portal noted above