Graduate Assistant

The Department of Civil and Environmental Engineering at South Dakota Mines seeks a Graduate Assistant preferably, a PhD student with expertise in hydrology modeling, machine learning, and optimization to join our research team. The successful candidate will conduct research at the intersection of hydrology and data science, developing and implementing models. Proficiency in programming languages such as Python or R, along with experience in hydrological modeling, is a plus. Interested candidates should submit a CV and transcripts to Dr. Mengistu Geza at stu.geza@sdsmt.edu