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André M. Bastos

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Postdoc in systems neuroscience and laminar recordings at Vanderbilt University Vanderbilt University in United States

Degree Level

Postdoc

Field of study

Neuroscience

Funding

The lab is newly R01-funded and growing, indicating funded postdoctoral support, but no stipend amount or exact funding package is stated.

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Country

United States

University

Vanderbilt University

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Keywords

Neuroscience
Computer Science
Psychology
Biomedical Engineering
Signal Processing
Electrophysiology
Neuropsychology
Basal Ganglia
Hippocampus
Neuroengineering
Population Dynamic

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About this position

Postdoctoral opening in the Cognition, Computation, and Consciousness Lab at Vanderbilt University, led by André M. Bastos.

The project focuses on scaling laminar recordings from 128 to 512–1,024+ channels to study how predictions and prediction errors are routed across cortex, thalamus, basal ganglia, and hippocampus in behaving macaques. The lab is interested in questions about feedforward and feedback signaling, cortical computation, oscillations, and population dynamics.

Applicants should have a PhD or be close to completing one in neuroscience, computational neuroscience, neuroengineering, cognitive neuroscience, or a related field. Relevant experience may include electrophysiology, modeling, signal processing, or neurotechnology. Non-human primate experience is not required. The lab especially welcomes candidates interested in building agentic AI tools for data analysis.

The position is based at Vanderbilt University in Nashville, United States. The lab is newly R01-funded and growing, with collaborators across Vanderbilt and beyond.

To apply, send a CV, research statement, and references to [email protected]. Review is rolling, so early applications are encouraged.

Funding details

The lab is newly R01-funded and growing, indicating funded postdoctoral support, but no stipend amount or exact funding package is stated.

What's required

Applicants should have a PhD or be soon-to-be PhD graduates in neuroscience, computational neuroscience, neuroengineering, cognitive neuroscience, or a related field. Experience in electrophysiology, modeling, signal processing, or neurotechnology is welcome. NHP experience is not required. Interest in building agentic AI for data analysis is especially encouraged.

How to apply

Send a CV, research statement, and references to [email protected]. Applications are reviewed on a rolling basis.

More information can be found here

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