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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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on academic record, as well as professional and extra-curricular experience. Basic Qualifications: PhD in Chemical Engineering, Electrical Engineering, Systems Engineering, Biomedical Engineering or related
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degree in a relevant field (completed PhD or ThD by the time of appointment, not more than five years from the degree) (2) A research project that fits within the initiative (3) Evidence of publications
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for the duration of the fellowship. Basic Qualifications Applicants should demonstrate the following qualifications: (1) Completed advanced degree in a relevant field (completed PhD or ThD by the time of appointment
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degree, such as PhD, ScD, DrPH in public health-related fields such as epidemiology, biostatistics Intermediate knowledge of scientific research methods Familiar with statistical software, including STATA