CAST10 Archives

March 2021

CAST10@LISTSERV.UMD.EDU

Options: Use Monospaced Font
Show HTML Part by Default
Show All Mail Headers

Message: [<< First] [< Prev] [Next >] [Last >>]
Topic: [<< First] [< Prev] [Next >] [Last >>]
Author: [<< First] [< Prev] [Next >] [Last >>]

Print Reply
Subject:
From:
"Daniel E. Rivera" <[log in to unmask]>
Reply To:
Daniel E. Rivera
Date:
Thu, 4 Mar 2021 02:23:14 -0500
Content-Type:
text/plain
Parts/Attachments:
text/plain (8 lines)
We are seeking applicants for an open postdoctoral position in the Control Systems Engineering Laboratory at Arizona State University for projects related to the use of system identification, model predictive control, and related technologies for modeling and optimizing mHealth behavioral interventions, with an emphasis on interventions to promote physical activity. The funding sources are 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.”

Qualified applicants will have an earned doctorate in chemical, electrical, mechanical engineering or related field, and show evidence (through dissertation work and publications) of being able to contribute to areas of relevance to these projects at a high level of proficiency. Preference will be given to applicants who wish to use the postdoctoral position as a means to develop credentials for an academic career.

The position is available immediately for one year, but may be renewed for a second year based on performance and continued availability of funds.

Candidates should submit, via email to Prof. Daniel E. Rivera ([log in to unmask]), the following: 1) a curriculum vitae, including educational background and a list of publications, 2) two publications representing the applicant’s research work, and 3) contact information for two references.

ATOM RSS1 RSS2