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Current Openings
POSTDOCTORAL RESEARCH FELLOW
COGNITIVE NEUROSCIENCE/HUMAN DRUG ABUSE AND fMRI
The National Institute on Drug Abuse (NIDA), Intramural Research Program (IRP), is recruiting for postdoctoral fellows to join an interdisciplinary team of scientists studying the neurobiological mechanisms of human drug abuse. Multimodal MRI (e.g. BOLD activation, resting connectivity, DTI, MRS) and EEG are used to study the mechanisms of action of abused drugs (e.g. cocaine, nicotine, marijuana), their effects on cognitive (e.g. attention, central executive processes, reward, learning) and affective processes (e.g., drug craving and interactions with emotional processes), and how their (dys) function(s) may be a factor in human drug addiction. Individuals with interests and background in decision making and modeling are especially encouraged to apply.
The ideal candidate will possess a Ph.D. or M.D., and a strong research background in cognitive neuroscience, drug abuse neurobiology, and/or functional imaging. The position(s) offer excellent training in all aspects of functional and anatomical MRI and MR physics in a highly interactive research environment. A 3 Tesla MRI is available for full-time research.
Interested candidates should provide a CV, statement of research background and interests, 3 letters of recommendation (ideally from noncollaborators), and a copy of the doctoral degree (if in a foreign language, include a certified English translation). Send application materials to: Elliot A. Stein, Ph.D., Chief, Neuroimaging Research Branch, IRP/NIDA, 251 Bayview Blvd, Suite 200, Baltimore, MD 21224.
Email: estein@mail.nih.gov 
DHHS and NIH are Equal Opportunity Employers
POSTDOCTORAL RESEARCH FELLOW
COMPUTATIONAL NEUROSCIENCE
A postdoctoral position is available at the National Institute on Drug Abuse, Intramural Research Program in the Neuroimaging Research Branch (NRB) to develop computational brain network models of addiction. The candidate will participate in several projects in which functional magnetic resonance imaging (fMRI) techniques are employed in both human and animal models of drug dependence, with the goal of understanding the causations and consequences of chronic drug administration.
Initial research directions include: a) to construct network models of the mesocorticolimbic and prefrontal cortical systems to understand how addictive drugs usurp the normal function of dopaminergic signaling by modulating the networks and how abstinence and treatment induce plastic changes to alter such networks; b) to integrate multimodal imaging data (including resting state fMRI, diffusion tensor imaging and tractography, quantitative morphometry, task-induced BOLD activation, MR spectroscopy, EEG) in novel computational models to better understand the plastic neurobiological changes that occur with chronic drug use. One long-term goal of these projects is to better predict future drug use and treatment outcomes. The candidate will also have the opportunity to develop additional research directions in collaboration with members of the NRB, other scientists at the NIDA-IRP and other labs within the NIH. The NRB is organized around close interactions between neuroscientists, physicists, clinicians and drug abuse experts.
The ideal candidate will have a doctoral degree, or equivalent, in applied mathematics, engineering, or neuroscience with an emphasis on computational approaches to the biology of complex neuronal systems. Knowledge of multivariate modeling approaches such as structural equation modeling, Granger causality or graph theory is required. Basic knowledge of neuronal signal integration, systems neuroscience and functional neuroimaging (MRI, fMRI, PET, EEG) is desirable. Programming in Matlab, python and/or C/C++ will be part of the project.
Interested candidates should submit a CV, statement of research background and interests and names of references to: Elliot A. Stein, Ph.D., Chief, Neuroimaging Research Branch, IRP/NIDA, 251 Bayview Blvd, Suite 200, Baltimore, MD 21224.
Email: estein@mail.nih.gov
DHHS and NIH are Equal Opportunity Employers
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