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There is one postdoctoral opening at Texas A&M University in the general area of process systems engineering, data assimilation and machine learning. The position is funded by the U.S. Department of Energy and industry partners (www.pe.tamu.edu/mceri ). As a part of the project, the successful candidate will develop (a) rapid and cost-effective methodology for data assimilation and uncertainty assessment, and (b) validate the developed methodology using data collected from ongoing field projects involving CO2 utilization for enhanced oil recovery and frequent time lapse seismic monitoring. The candidates are expected to have a Ph.D. degree in Chemical Engineering, Petroleum Engineering or related discipline. Previous experience in the area of process systems engineering, modeling multiphase flow in porous media and machine learning is desirable. Competitive salary and benefits will be provided. Interested applications should send a cover letter, detailed curriculum vitae, and a list of at least three referees directly to Professor Joseph Kwon at [log in to unmask] An immediate start date is preferred. Joseph Sang-Il Kwon, Ph.D. Assistant Professor Artie McFerrin Department of Chemical Engineering Texas A&M University 331 Giesecke Engineering Research Building College Station, TX 77843-3251 979.862.5930