PhD Researcher in Recurrent Network Models of Statistical Learning

hace 4 semanas


Gasteiz Vitoria, Álava, España Bcbl Basque Center On Cognition, Brain & Language A tiempo completo

Job Description:

At Bcbl Basque Center On Cognition, Brain & Language, we are seeking a highly motivated PhD Researcher to join our Computational Neuroscience group. The successful candidate will be working on a project focused on Recurrent Network Models of Statistical Learning.

Key Responsibilities:
Collaborate with the PI and research group on finalizing experimental designs, implementing them, and collecting data.
Analyze EEG and MEG data to advance our understanding of human statistical learning.
Write research papers under the supervision of the PI, aiming to publish at top-tier journals.
Disseminate results at international scientific conferences.

About the Project:
Statistical learning is a crucial capacity supporting efficient cognition and action throughout the lifespan. This project uses recurrent neural network modeling to investigate the types of computations that may support human SL. The modeling motivates EEG and MEG studies with human subjects, advancing our understanding of the nature and computational basis for human SL.

About the Research Group:
Our group is developing novel computational approaches focused primarily on typical and atypical learning and language. We use modeling to motivate new hypotheses, which we then test with human subjects, to advance theoretical understanding.

Requirements:
Master's (or equivalent) degree in Psychology, Computer Science, Cognitive Neuroscience, Linguistics, or a related field.
Excellent written and oral communication skills in English.
Programming experience is highly desirable, as is experience with neural networks and participating in research projects.



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