Cognitive an dImaging Scientist
The Department of Diagnostic Radiology at the University of Maryland School of Medicine seeks a full‐time Assistant Professor on the tenure track. The primary activity of this position will be to conduct academic research in association with other funded faculty members, as well as maintain an independent research program supported by externally funded research grants. The successful candidate will focus on the development and application of cognitive paradigms in conjunction with neuroimaging, including resting and task-based functional MRI. The candidate will also be involved in development of experimental cognitive paradigms and experiments. The department has two dedicated research MRI scanners including a 3.0 Tesla Siemens Prisma FIT and a GE 750W 3.0 Tesla system.
The successful candidate should have a Ph.D. (or equivalent degree) in cognitive neuroscience or neuropsychology. The candidate should be well versed in neuropsychological assessment, neurologic populations, and fMRI cognitive paradigm design, and data acquisition and processing. Qualified applicants should also have a track record of first-author research publications in peer-reviewed journals and federal funding.
Competitive salary and comprehensive benefits are proudly offered. Faculty rank is commensurate with candidate's qualifications and experience. Please send CV with cover letter of interest to the attention of Barbara Stewart at firstname.lastname@example.org , or fax 410-328-0641, or mail:
Department of Diagnostic Radiology and Nuclear Medicine
University of Maryland Medical Center, Rm N2E23
22 South Greene Street
Baltimore, MD 21201
In addition, you must apply through Taleo: please see link below
Cognitive and Imaging Scientist
The University of Maryland, Baltimore is an Equal Opportunity, Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law or policy. We value diversity and how it enriches our academic and scientific community and strive toward cultivating an inclusive environment that supports all employees.
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