The University of Wyoming is seeking a Research Scientist in our Job of the Week.
The Center of Innovation for Flow through Porous media (COIFPM) at the University of Wyoming has multiple openings for highly motivated research scientists to join its computational research branch. The focus of the modeling team is to develop advanced computational tools to simulate multiphase flow and transport in porous materials. To this end, we utilize high-performance computing techniques to build innovative and highly parallelized computer platforms that are tested on powerful supercomputers and validated against experimental data.
The successful candidates will be expected to work closely with graduate students and other research scientists in the group and publish in high-quality peer-reviewed scientific journals. In addition, the researchers will have full access to well-characterized experimental data generated at COIFPM, the world’s largest experimental research center in this area, which is located at the University of Wyoming’s campus in Laramie, Wyoming.
Essential Duites and Responsibilities:
- Perform cutting-edge research on modeling of multiphase flow and transport in porous media
- Incorporate new insights gained through experimental studies of multiphase flow into computational platforms
- Evaluate, implement, and apply up-scaling methods to facilitate flow simulation in extra-large domains
- Communicate and interact with interdisciplinary project teams
- Prepare research proposals, progress reports, and manuscripts for publication in peer-reviewed scientific journals
- Present research findings at appropriate scientific meetings
- Performs other related responsibilities as necessitated by the position
COIFPM is the world’s largest experimental research facility focused on flow through porous media problems with applications primarily in oil and gas recovery and carbon utilization and storage. It is developed using more than $100 million investment. The facility provides imaging and flow capabilities at atomic, nano, micro, and macro scales. Furthermore, it establishes a massive capacity for members to conduct numerous studies in parallel.
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