Postdoctoral Fellow in Neuromotor ControlSchool: Harvard John A. Paulson School of Engineering and Applied Sciences
Position Description: The Neuromotor Control Lab at Harvard University, under the direction of Dr. Maurice Smith, is seeking a postdoctoral fellow to study human motor learning and motor control. 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 highly motivated with a record of high scientific productivity, possess strong skills in data analysis, and have a strong background in neuroscience, learning and memory, motor control, biomechanics, control theory, or a related field. Strong statistical understanding and a talent for data analysis and visualization using Matlab or Python are expected. Specific experience with experimental design, computational modeling, and data analysis for studying human motor learning is a plus.
The review process is competitive, based on academic record, as well as professional and extra-curricular experience.
Basic Qualifications: PhD is required.
Additional Qualifications: Strong background in neuroscience, learning and memory, motor control, biomechanics, control theory, or a related field. Strong statistical understanding for data analysis and visualization using Matlab or Python are expected.
Special Instructions: An application must include:
1. CV (including full contact information).
2. A list of publications.
3. Three reference letters (one from the PhD thesis advisor).
4. One-page statement of your interest in working on motor learning and motor control.
SEAS is dedicated to building a diverse and welcoming community, and we strongly encourage applications from historically underrepresented groups.
Contact Information:
Professor Maurice Smith
150 Western Ave.
Allston, MA
02134
Contact Email: ******
Equal Opportunity Employer: Harvard is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service, pregnancy and pregnancy-related conditions, or other protected status.
Minimum Number of References Required: 3
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