Postdoctoral fellow in the neurophysiology of navigation and memory

The Newman Memory Lab at Indiana University Bloomington invites applications for a postdoctoral position to complete an NIH-funded study on the neurobiological mechanisms of navigation and memory. A highly motivated scientist experienced with high-density electrophysiology in freely behaving rats is sought to conduct experiments designed to test hypotheses regarding the neural coding of time and space in the hippocampal formation. This study is part of a Collaborative Research in Computational Neurosciences (CRCNS) project with Drs. Zoran Tiganj (IU, USA) and Thomas Wolbers (DZNE, Germany) designed to test the predictions of a unified mechanistic model of path integration in healthy and Alzheimer’s individuals.

Support:

• Postdoctoral fellows are provided state-of-the-art equipment dedicated to their experiments, office space, workstations, and travel funds to visit collaborators, and to present at meetings.
• Salary is commensurate with experience and contribution per NIH stipend guidelines.

Requirements:

• A PhD in neuroscience or related discipline, substantial experience with in-vivo electrophysiology, and fluency in related analyses are necessary.
• Expertise in topics related to navigation, memory, and the entorhinal-hippocampal circuit is strongly preferred.
• Prior experience with rodent memory tasks and computational modeling is preferred.
• Start date is flexible.

Interested candidates should submit their application package including a cover letter, their CV with a list of publications, brief statement of research interests and their possible start dates in PDF format to Dr. Ehren Newman (ehnewman@iu.edu). For full consideration, submit all materials by 9/31/2021. For additional information and informal inquiries, please contact Dr. Ehren Newman. We strive for a diverse and inclusive environment and encourage applications from members of any identity. More information about our lab: https://memlab.sitehost.iu.edu

Keywords: neuroscience neurophysiology electrophysiology computational modeling hippocampus entorhinal cortex rat Alzheimer’s navigation path integration memory Indiana fellowship behavior neural coding theoretical NIH