We use cookies. Find out more about it here. By continuing to browse this site you are agreeing to our use of cookies.
#alert
Back to search results

Postdoctoral Research Scientist - In Vivo Imaging

Society for Neuroscience
United States, New York, New York
Oct 31, 2024
Postdoctoral Research Scientist - In Vivo Imaging

Employer


Columbia University

Location

New York City, New York

Salary

$71,050-$75,050

Closing date

Jan 2, 2025


View more categories View less categories


Sector

Graduate School or University

Job Function

Postdoctoral Researcher

Research Area

Cognition,
Neural Excitability, Synapses, & Glia,
Neurodegenerative Disorders & Injury

Position Type

Contract

Level

Any Experience Level Considered

At the Stavros Niarchos Foundation (SNF) Center for Precision Psychiatry & Mental Health, we envision a near future when mental illness is treated in novel, targeted, and tailored ways, based on a new understanding of how mental illness develops and persists, unique to each individual. Our mission is to apply advances in neuroscience, technology and precision medicine to psychiatry; to create breakthroughs that further our understanding of the biological causes and underpinnings of mental illness; and to discover treatments that alleviate suffering from conditions previously considered untreatable. By addressing biological causes, and identifying genetic and other biological markers, the SNF Center will eliminate the stigma of mental illnesses and address societal disparities by ensuring equitable access to breakthrough Precision Psychiatry treatments.

A Postdoctoral Research Scientist position is available in the Stavros Niarchos Foundation (SNF) Center for Precision Psychiatry & Mental Health and the Zuckerman Institute, to study in vivo synaptic, cellular, and molecular mechanisms of learning and memory deficits in mouse models of neuropsychiatric disorders with the ultimate goal to facilitate translational efforts and develop new targeted treatments. The successful candidate will join a leading group of researchers using cutting-edge optical microscopy (ie., ultrafast, random access 3-dimensional acousto-optical microscopy with real-time motion correction) in combination with the latest generation of genetically encoded voltage, calcium, and neurotransmitter sensors to dissect the organization and function of hippocampal and cortical circuits during spatial and episodic learning.

Title this position reports to: Joseph Gogos, Steven Kushner and Attila Losonczy

Situated in the heart of Manhattan in New York City, the Zuckerman Institute houses over 50 laboratories employing a broad range of interdisciplinary and diverse approaches to transform our understanding of the mind and brain. In this highly collaborative and inclusive environment, experimental, computational, and theoretical labs work together to gain critical insights into how the brain develops, performs, endures and recovers.

Duties involve the following tasks:

* Conduct laboratory research using cutting-edge optical microscopy;

* Design and perform experiments; collect and analyze data;

* Prepare manuscripts for publication in peer-reviewed journals;

* Engage in scientific communication at conferences and training of junior lab members

Qualifications

Applicants should have a PhD in neuroscience or physics/optical engineering, and a strong publication record. Expertise with in vivo functional imaging is required. Strong background in quantitative analysis of neuronal recordings and related programming skills (e.g., Python, Matlab), superior motivation, drive and demonstrated aptitude for carrying out independent research, as well as experience and interest in training and mentoring team members, are highly desirable qualifications.

Application Instructions

Candidates should submit their application, including a curriculum vitae, a brief cover letter outlining their research interests and goals, and the contact information of three individuals who will provide letters of reference. Informal inquiries are also welcome.

Applied = 0

(web-5584d87848-llzd8)