We are seeking a researcher interested in developing novel multimodal, continual, and human-in-the-loop learning methods for real-world healthcare applications, with a particular focus on understanding human movement and Parkinson’s disease.
Our team brings together researchers across Biomedical Informatics, Biomedical Engineering, Neurology, Electrical and Computer Engineering, and Machine Learning. The fellow will work with Hyeok Kwon (PI, VITAL Lab) and an interdisciplinary team of ML, engineering, and clinical collaborators.
Research directions include:
The position provides an opportunity to work on fundamental machine learning problems while evaluating new methods using real-world longitudinal clinical data and deployments in Emory Movement Disorders clinics.
We welcome candidates with strong backgrounds in machine learning, multimodal learning, computer vision, representation learning, continual/test-time learning, human activity recognition, ubiquitous computing, or related areas.
The position is supported by a five-year NIH R01-funded study (https://reporter.nih.gov/search/xVlknvaiXkeJCod3gizSLw/project-details/11450678).
Application:
https://faculty-emory.icims.com/jobs/172904/post-doctoral-fellow/job
Dr. Kwon’s Lab:
https://kwonvitallab.github.io/
Interested candidates are welcome to contact Dr. Hyeok Kwon directly at hyeokhy...@emory.edu or hyeokhy...@gatech.edu.
Please feel free to forward this announcement to anyone who may be interested.