Contributed by: Daniel E. Rivera, daniel.rivera@asu.edu
Open PhD positions at Arizona State University
A number of PhD assistantships are available in the Control Systems Engineering Laboratory at Arizona State University for research in novel uses of system identification, model predictive control, and ancillary systems methodologies applied to modeling and optimization of mHealth interventions for physical activity. These are funded from three US National Institute of Health (NIH) grants: U01CA229445 “Operationalizing behavioral theory for mHealth: dynamics, context, and personalization,” R01LM013107 “SCH: Control systems engineering for counteracting notification fatigue: an examination of health behavior change,” and R01CA244777 ”Optimizing Individualized and Adaptive mHealth interventions via control systems engineering methods.”
Candidates need to be admitted to the PhD programs at Arizona State in either chemical or electrical engineering, and will be working in a highly interdisciplinary environment involving psychologists, behavioral scientists, engineers, and computer scientists.
Inquiries (which should be accompanied by statements of interest and a summary of the candidate’s background in control systems and ancillary fields) should be addressed to Professor Daniel E. Rivera, Program Director, Control Systems Engineering Laboratory, at daniel.rivera@asu.edu.
