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Dr. Jeffrey Spielberg is accepting applications for a *Postdoctoral Researcher position* in the *Connectomics of Anxiety and Depression* Lab at the University of Delaware. The researcher will contribute to an ongoing NIMH-funded R01 grant examining longitudinal change in brain networks that contribute to anxiety development during early adolescence, with a focus on pubertal hormones.

The ideal candidate will have a strong background in programming and MRI analysis, along with an interest in adolescent development, emotion/motivation, and/or anxiety, although all applications are encouraged. Clinical training or experience with network analysis methods are not required, but would be considered an asset. Applications from any area of Psychology/Neuroscience are encouraged, although previous experience with human MRI is necessary.

The primary duties of the postdoctoral researcher will be to analyze MRI data and write manuscripts for publication. In addition, the researcher will have the opportunity to learn and apply cutting-edge network-analysis methods (e.g., graph theory) to understand the network basis for anxiety. The position would last for a two-year period with potential for renewal.

If you are interested in being considered for the position, please send a current CV, a brief statement of interest that outlines your qualifications for the position, reprints of selected papers, and the names of three professional references to Dr. Jeffrey Spielberg at jmsp@udel.edu. For more information on the lab’s work, see http://secure-web.cisco.com/10kRxO4QDT9UHmYJygXW-LnOe5rPLvNlHrCty61ZS9vJPOgO...

*QUALIFICATIONS:*

- Ph.D. in psychology, neuroscience, or related disciplines

- Experience processing and analyzing structural, functional, and/or diffusion MRI data

- Proficiency in programming (e.g., MATLAB, python)

- Previous human MRI publications

- Interest in adolescent development, emotion/motivation, and/or anxiety

- Clinical training (e.g., SCID/KSADS administration) and/or experience with network analysis (e.g., graph theory) are not required, but would be considered an asset