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Yale University

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Postdoctoral Position in Human Cognition Using Intracranial EEG and Single-Unit Recordings Yale University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Compensation is $68,500.00. The post does not specify whether tuition, benefits, or other funding components are included.

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Country

United States

University

Yale University

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Keywords

Computer Science
Psychology
Cognitive Science
Biomedical Engineering
Decision Making
Neuropsychology
Deep Brain Stimulation
Learning And Memory
Computational Modelling

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About this position

The Damisah Lab at Yale University is recruiting a postdoctoral scholar to investigate the neural mechanisms underlying human cognition. The research focuses on sleep, decision making, and learning and memory through an invasive human electrophysiology-centric approach.

Postdoctoral researchers will work with intracranial electroencephalography, single-unit and multi-unit neuron recordings, closed-loop recording and stimulation devices such as deep brain stimulation and responsive neurostimulation, and measures of the autonomic nervous system including heart rate and pupillometry. These techniques are combined with behavioral tasks, naturalistic behaviors, and computational modeling to address fundamental questions about cognition.

The lab brings together scientists from neuroscience, bioengineering, computer science, and psychology. Researchers benefit from access to patient populations and cutting-edge facilities, with opportunities for collaboration across neurology, psychiatry, psychology, and neuroscience at the Yale School of Medicine. The group emphasizes innovative, rigorous research alongside personal and professional development in a supportive environment.

Funding details

Compensation is $68,500.00. The post does not specify whether tuition, benefits, or other funding components are included.

What's required

A Ph.D. in psychology, neuroscience, engineering, computer science, or a related field is required. Candidates should be proficient in MATLAB, Python and/or R programming and data visualization, and familiar with time-frequency analysis using FieldTrip, MNE, or similar environments. Preferred qualifications include experience with human scalp or intracranial EEG and single-unit recordings, a strong background in computational modeling of behavioral or neural data, and experience with statistics, machine learning, and/or brain stimulation.

How to apply

Send a cover letter, CV, and representative publication(s) by email to [email protected].

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