View Full Version : Neuromuscular Function Assessment using Body-worn Sensors in Older Adults

08-22-2018, 05:00 PM
We are looking for motivated PhD students in our lab, in the Department of Biomedical Engineering, at the University of Arizona. Main research areas related to this position are: biomechanics, wearable sensors, machine learning, aging, frailty and fall, and Alzheimerís disease.

Our team at the University of Arizona, provide a great opportunity to work in a multi-disciplinary environment to get exposed to real-life clinical problems (in collaboration with our clinical coordinator at Banner Hospitals) and provide cutting-edge technologies to help older adults live healthier and independently. The main mission of our lab is to implement biomechanical approaches to characterize aging and disease-related decline in physical and cognitive function among older adults, and use machine learning approaches to identify the risk of frailty, fall, and health adverse outcomes including hospitalization and mortality.
Skill sets that will help students to be successful and fit well within this research program are: knowledge of human musculoskeletal system and biomechanics, programming and machine learning skills (MATLAB or Python), and communication skills (presentation and manuscript preparation).

Please donít hesitate to contact Dr. Nima Toosizadeh for more questions regarding this position.
Please send applications (assembled as a single PDF file) that will include:
1- Complete CV
2- Transcripts
3- Brief statement about your research interests and goals
directly to Dr. Nima Toosizadeh (ntoosizadeh@aging.arizona.edu)