Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. We welcome candidates who can contribute to the diversity and excellence of our academic community.

KEY RESPONSIBILITIES:

This study aims to delineate the early neuromotor and cognitive development of infant brains by analyzing electroencephalographic (EEG) signals, which capture the brain's neuroelectrical activities. The research will employ both conventional biosignal processing techniques and AI/machine learning methods to characterize neurobrain development and investigate its translational impact by correlating these findings with clinical outcomes.

Required Skillsets:

• Basic understanding of neuroscience

• Expertise in digital signal processing, including filtering and spectral analysis

•  Proficiency in machine learning and deep learning

Candidate Profile:

We are seeking individuals with a robust background in signal processing and machine learning who are passionate about addressing current health research challenges. Essential qualifications include:

• A solid understanding of machine learning and deep learning principles

• Proficiency in Python (Matlab proficiency is a plus)

• Prior experience in machine learning projects
• The ideal candidate will collaborate with the study PI and the lab team to produce publishable findings and significant breakthroughs.

Benefits:

• Paid position with a flexible working schedule

• Opportunities to be the first author or co-author on future publications

• Long-term potential to continue as a Ph.D. student or postdoc

This opportunity offers a unique chance to contribute to groundbreaking research while advancing your academic and professional career.

MINIMUM QUALIFICATIONS:

• Currently enrolled as an undergraduate or graduate student in a college or university offering a four-year degree.
• Completion of freshman year or higher and in good academic standing.

NOTE: This role will be granted the opportunity to work from home regularly but must be able to commute to Emory University on a flexible weekly schedule based upon business needs.  Schedule is based on agreed upon guidelines of department. This role requires residency in the state of GA. Emory reserves the right to change remote work status with notice to employee.

Emory University is dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law. Students, faculty, and staff are assured of participation in University programs and in the use of facilities without such discrimination. Emory University complies with Executive Order 11246, as amended, Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veteran's Readjustment Assistance Act, and applicable executive orders, federal and state regulations regarding nondiscrimination, equal opportunity and affirmative action. Emory University is committed to achieving a diverse workforce through application of its affirmative action, equal opportunity and nondiscrimination policy in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training. Inquiries regarding this policy should be directed to the Emory University Department of Equity and Inclusion, 201 Dowman Drive, Administration Building, Atlanta, GA 30322.

Emory University is committed to providing reasonable accommodations to qualified individuals with disabilities upon request. To request this document in an alternate format or to request a reasonable accommodation, please contact the Department of Accessibility Services at 404-727-9877 (V) | 404-712-2049 (TDD). Please note that one week advance notice is preferred.