Medical AI eXploration Laboratory
Job Title: Student Research Assistant
Job Description:
There are a variety of physiological signals measured with modern clinical instruments that offer insight into patient physiological conditions. My research concerns about how to apply machine learning techniques to sift through physiological waveforms (ECG, PPG, EEG, etc) combined with clinical information stored in electronic health records (EHR) to advance medical research. Ongoing research projects in my lab include
Delineate Infant neural brain development using EEG.
Early detection of acute coronary syndrome using multimodal data (ECG, PPG, EHR)
Investigating PPG dynamics associated with vasal blood pressure changes.
We are seeking an individual with a solid background in signal processing and machine learning, and a deep interest in addressing current health research challenges. Essential skills include a good understanding of machine learning and deep learning principles, proficiency in Python (Matlab proficiency is a plus), and prior experience in machine learning projects. The ideal candidate will collaborate with the PI and lab team to produce publishable findings and breakthroughs.
Benefits:
Paid position with a flexible working schedule
Opportunities to be first author or co-author in future publications
Long-term opportunity to continue as a Ph.D. student or postdoc
Contact: ran[dot]xiao[at]emory[dot]edu