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