Reinforcement learning and bioinspired computing for adaptive neuromodulation

Description

Offer Description: Within BRAINFEDERATION, the appointee will support the development and evaluation of reinforcement learning algorithms and bioinspired computing architectures for adaptive neuromodulation, under the scientific supervisor’s guidance. Activities will include implementing simulation environments based on neural dynamics models, spiking neural networks and reservoir computing, and comparing closed-loop control strategies subject to stimulation constraints. Learning efficiency, stability and robustness to noise and model variability will be assessed. Outputs will include documented code, reproducible experiments and a report on the results, supporting the project’s neuromorphic learning activities Additional Information: Eligibility criteria Eligible destination country/ies for fellows: Italy Eligibility of fellows: country/ies of residence: OTHER Eligibility of fellows: nationality/ies: OTHER Website for additional job details https://pica.cineca.it/uniroma2/

Sectors

Source

Source: euraxess.ec.europa.eu