A post-doctoral research position is available at The University of Texas at Austin in the general area of process performance monitoring. Specific topics of interest include quantifying plant-model mismatch in model predictive control, and using large-scale data sets to evaluate plant-wide performance. The work will be carried out under the supervision of Profs. Michael Baldea and Thomas F. Edgar.

The ideal candidate will have a PhD in Chemical Engineering, Electrical Engineering or a related field, with a strong publication record demonstrating proficiency in one or more of the following areas: systems and control theory, optimization, data analysis and numerical methods. Excellent communication skills, both written and oral, are essential. This project is industry-sponsored and will require frequent interactions with industry researchers, as well as a focus on industrial implementation of the results.

The position is available immediately. An initial appointment will be made for a period of one year, with the possibility of extension based on performance and the availability of funding.

To apply, candidates are kindly requested to send the following materials via email to [log in to unmask]:

- A cover letter describing their future plans and motivating their interest in the position

- A full curriculum vitae

- A list of at least three academic references

The University of Texas at Austin is an equal opportunity employer.

MICHAEL BALDEA, Ph.D. | Associate Professor and Undergraduate Advisor, Frank A. Liddell, Jr. Centennial Fellow in Chemical Engineering