May 10, 2016

Clinical and Cognitive Neuroscience Lab Manager/Data Analyst position!

Lab Manager/Data Analyst Position 
Department of Psychology 
University of Maryland, College Park

Dr. Edward Bernat and the Clinical and Cognitive Neuroscience Lab (http://www.ccnlab.umd.edu) in the Department of Psychology at the University of Maryland, College Park, are seeking a motivated individual to become a full-time lab manager and data analyst, beginning as soon as June 15th, 2016. Applications will be accepted until the position is filled. The position is funded by several federal grants.

Primary responsibilities will include: (1) EEG and EEG/fMRI data collection, (2) analysis of EEG and MRI data, (3) participant recruitment, (4) recruitment and supervision of undergraduate research assistants. Extensive training is provided in each of these domains; skills and strong motivation to engage learning each of these responsibilities are highly desirable.

Required Qualifications: A bachelor’s degree in a related scientific field (e.g. psychology, biology, other behavioral sciences, neuroscience), strong academic record, good organizational skills, research experience in a laboratory setting, and strong interests in EEG/ERP neuroimaging research.

Preferred Qualifications: Experience with EEG data collection and/or ERP data analysis, experience with computer programming and statistical software, including but not limited to Matlab, R, SPSS, E-prime, and a strong motivation for future graduate study.

A 1-year minimum commitment is required, with the possibility of renewal based on satisfactory performance and availability of funds to support the position. An optimal benefit to the candidate and lab generally occurs with a 2-3 year experience. Interested individuals should email a cover letter describing qualifications, background, and future goals, CV, and names and contact information of 3 references to Dr. Edward Bernat at ebernat@umd.edu.

The University of Maryland, College Park, actively subscribes to a policy of equal employment opportunity, and will not discriminate against any employee or applicant because of race, age, gender, color, sexual orientation, physical or mental disability, religion, national origin, or political affiliation. Minorities and women are encouraged to apply.

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