Postdoc @ Arizona State in System Identification and MPC

Prof. Daniel E. Rivera has announced a postdoctoral research position at the Control Systems Engineering Laboratory at Arizona State University of interest to the PSE Community. Supported by funding from three different NIH grants, Dr. Riveria writes that the position is “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.” From the announcement:

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 (, 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.

As always, be sure to mention that you heard about this position on!

Thomas A. Adams II

Professor of Chemical Engineering at McMaster University