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.
Artie McFerrin Department of Chemical Engineering
Texas A&M University
331 Giesecke Engineering Research Building
College Station, TX 77843-3251