Master's Student (only FIU)

About the Role

Hello FIU Panthers! The CNBD Lab is actively recruiting a motivated Master’s student to join us in Fall 2026 through the BME or related Engineering program at FIU. If you have been accepted for FIU’s master’s program in engineerig and are looking for a lab to initiate your graduate studies, this is an ideal opportunity for you!

Students with backgrounds in biomedical engineering, neuroscience, electrical engineering, computer science, physics, psychology, or related fields are encouraged to apply. Applicants should have strong interest in neuroimaging, computation, and brain disorders research.

Prerequisites and Requirements

Before applying, review the prerequisite information and complete the admission requirements provided by FIU BME.

Eligibility

Candidates for the Master’s Program in the CNBD Lab must meet the following requirements:

• Completion of a bachelor’s degree in biomedical engineering, cognitive neuroscience, electrical engineering, psychology, computer science, or a related field.
• A minimum cumulative undergraduate GPA of 3.0 on a 4.0 scale. Graduate GPAs may also be considered if academic improvement is evident.
• Accepted for an MS program with a fellowship from FIU

Suggested Coursework:

Applicants are encouraged to have completed coursework with proficiency (B average or above) in mathematics and science. Advanced courses in Signal processing, Computer science, Biology, chemistry, and physiology, are highly recommended.

International applicants

International students are welcome to apply. See FIU’s international applicant information for details.

Nice to Have

• Completion of a Bachelor’s degree in a related field.
• Experiences in Neuroimaging analysis and preprocessing
• Experiences in Programming: Python, Shell, R and/or Matlab
• Bilingual: English and Spanish (if planning to conduct clinical research projects)

How to Apply

✉️ E-mail to PI

✅ Send an email to Dr. Lee

• Include: CV and research statement
• Subject line: [Master's application]

If you’re passionate about neuroimaging, computational modeling, or mental health research, and excited to build a career in an interdisciplinary environment, we would love to hear from you!

Apply Now