Job ID: 120056

Postdoc position in systems neuroscience, studying interactions between learning systems

Position: Post-doctoral Position

Deadline: 16 September 2024

City: Baltimore

Country: United States

Institution: University of Maryland, Baltimore

Department:

Description:

Understanding the neuronal basis of interactions between learning systems

The Wolff Lab at the University of Maryland School of Medicine in Baltimore has a NIH-funded position for a Postdoctoral Fellow. We generally study the learning and execution of complex motor skills on the behavioral and neuronal level in rodents. This project specifically will explore how motor skill learning influences, and is in turn influenced by, other learning processes like declarative learning.

To study these complex interactions, we take advantage of automated high-throughput behavioral training and continuous long-term electrophysiological recordings, combined with acute and chronic manipulations of neuronal activity and computational modeling of our large datasets.

We seek to understand how motor and declarative learning can influence each other throughout training, which factors modulate these interactions and the learning processes per se, and how individual neuronal elements in the overlapping learning networks, from the basal ganglia to cortex, hippocampus and thalamus, are involved. For more information see https://www.wolff-lab.org/.

Candidates should have a PhD (or equivalent) in neuroscience, biomedical engineering, biology, physics, computer science or a related field. The ideal candidate preferably has experience in rodent behavior, electrophysiology and/or analysis of large datasets. We particularly encourage applications from any underrepresented or minority group.

Qualified applicants should send a description of their current and future research interests, their CV, and names and contact details for two references to swolff@som.umaryland.edu.