Columbia University in the City of New York

Postdoctoral Scientist, Dr. Attila Losonczy

Columbia's Zuckerman Institute is seeking a postdoctoral scientist to perform research using in-vivo cellular and microcircuits dynamics in the mouse hippocampus during spatial learning and navigation using cutting-edge functional imaging, electrophysiological and molecular approaches.

Position Summary

Columbia University’s Mortimer B. Zuckerman Mind Brain Behavior Institute (the Zuckerman Institute) brings together world-class researchers from varied scientific disciplines to explore aspects of mind and brain, through the exchange of ideas and active collaboration. The Zuckerman Institute’s home, the Jerome L. Greene Science Center is a state-of-the-art facility on Columbia’s new Manhattanville campus. Situated in the heart of Manhattan in New York City, the Zuckerman Institute houses over 50 laboratories employing a broad range of interdisciplinary approaches to transform our understanding of the mind and brain. In this highly collaborative environment, experimental, computational, and theoretical labs work together to gain critical insights into how the brain develops, performs, endures and recovers.

The Losonczy Lab within the Zuckerman Institute seeks a postdoctoral scientist to perform research studying in vivo cellular and micrcocircuits dynamics in the mouse hippocampus during spatial learning and navigation using cutting-edge functional imaging, electrophysiological and molecular approaches. Examples of available research projects: (1) Characterizing synaptic integration and plasticity in dendrites of hippocampal pyramidal cells and interneurons in the behaving mice using multi-photon calcium, voltage and neurotransmitter imaging (2) Mechanisms of learning-related changes in hippocampal microcircuit dynamics using molecular manipulations and monosynaptic viral tracing. (3) Characterizing learning-related circuit dynamics across hippocampal regions using deep, non-
invasive three-photon imaging. (4) Characterizing epilepsy-related changes in hippocampal microcircuit dynamics using in vivo imaging and electrophysiological recordings.

Exceptionally strong candidates with training in a different STEM field (physics/engineering or statistics/computer science) and highly motivated to transition to neuroscience may also be considered. Strong background in quantitative analysis of neuronal recordings and related programming skills (e.g., Python, Matlab) are required. Prior expertise with in vivo imaging,
electrophysiological recordings (e.g., patch-clamp, patch-Seq) or optical physics, as well as superior motivation, drive and demonstrated aptitude for carrying out independent research are highly desirable qualifications.


Minimum Qualifications

PhD or doctorate in neuroscience or related STEM field.  

Preferred Qualifications

Strong candidates will be interested and focused on interdisciplinary neuroscience research. 

We invite to you review our website: www.losonczylab.org

Interested candidates should send CV and cover letter to Dr. Attila Losonczy at [email protected]

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