Careers at MEG Lab
We welcome talented and motivated individuals to join our team and contribute to cutting-edge discoveries. We are dedicated to fostering a collaborative, innovative, and inclusive research environment. If you are interested in joining the MEG Lab, please email your CV and a brief description of your research interests to Dr. Babajani at babajani.a@ufl.edu.
Postdoctoral Fellows
We are seeking postdoctoral researchers with expertise in neuroimaging (fMRI, DTI, or PET), electrophysiology (MEG, EEG, or intracranial EEG [iEEG]), or machine learning. Ideal candidates will work on advanced research projects in neurodegenerative diseases (e.g., AD, LBD, PD, and ALS), epilepsy, or brain-computer interfaces (BCI). Applicants with experience in MEG/fMRI, deep learning, and large language models are highly encouraged to apply.
Ph.D. Students
Ph.D. students with background in biomedical engineering, electrical engineering, neuroscience, or artificial intelligence are encouraged to join our lab. We offer exciting opportunities to work on pioneering projects that leverage MEG/EEG, fMRI, and iEEG to uncover the mechanisms of neurological disorders, language and other cognitive processes, and BCI applications for speech and language decoding. Programming skills in MATLAB/Python and prior experience with EEG/MEG/fMRI or machine learning are highly desirable.
Research Fellow (MD)
We invite physicians or MD researchers with an interest in translational neuroscience to collaborate with us. Our lab integrates clinical expertise with advanced neuroimaging techniques to enhance diagnostics and develop therapeutic strategies for neurological diseases such as epilepsy and Alzheimer’s disease. Applicants with relevant publications and experience in neuroimaging are strongly preferred.
Master’s Students
Master’s students in biomedical engineering, electrical engineering, neuroscience, or computer science are welcome to join our lab for impactful research opportunities. You’ll gain hands-on experience with cutting-edge neuroimaging technologies and AI-driven data analysis. Prior knowledge of signal/image processing, machine learning, and proficiency in MATLAB/Python programming is highly valued.
Undergraduate Students
Undergraduates eager to explore research in neuroscience, neuroimaging, biomedical engineering, or AI are invited to join the MEG Lab. You will have the chance to develop foundational skills in programming, data analysis, imaging techniques, and machine learning while contributing to groundbreaking projects. A commitment of at least 10 hours per week is required, and prior experience in MATLAB/Python programming is highly desirable.