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Tenure-Line Assistant Professor In Magnetic Resonance Imaging Methods
George Mason University Department Of Psychology
Fairfax , VA 22030
Posted 3 months ago
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The George Mason University Psychology Department invites applications for a tenure-track Assistant Professor position for an individual who specializes in Magnetic Resonance Imaging (MRI) methods relevant to Psychology, to begin in the Fall 2019 semester.
Responsibilities: The successful candidate is expected to maintain a highly productive, impactful, and collaborative research program, teach graduate and undergraduate courses in neuroimaging, cognitive science/neuroscience, quantitative methods, and/or clinical or applied psychology topics, and direct and advise graduate students.
Required Qualifications: We are looking for individuals with a Ph.D.
in psychology or neuroscience (or a closely related field); a strong research record; and evidence of, or potential for, excellence at teaching/mentoring and obtaining external funding.
Candidates who will have a Ph.D.
conferred before the start of Fall 2019 classes will be considered eligible for this posting.
Preferred Qualifications: The area of specialization is open; however, the department is seeking an individual with expertise primarily in MRI acquisition (e.g., fast EPI, VASO, diffusion, pediatric imaging), analysis (e.g., connectomics, multivoxel methods, computational modeling), or both.
This individual will take full advantage of the facilities of Masons new Multimodal Imaging Group, which includes a new Siemens Prisma 3T MRI, 64 channel MRI compatible EEG system, transcranial magnetic stimulation (TMS), and electrical stimulation (TES). The successful candidate will be able to affiliate with one or more of the department's five doctoral programs.
Additional collaborations are also available with other Mason departments, including Bioengineering, Masons Interdisciplinary Neuroscience Program, and the newly formed Center for Adaptive Systems in Brain-Body Interactions (CASBBI). All hires in the department are expected to be highly competent in quantitative methods.
Additionally, applicants who have a history of extramural funding, a strong publication record, the ability to mentor and teach MRI methods, and the ability to contribute to a culturally inclusive environment will be given preference.