-
will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. Required
-
for field work, project meetings and conferences. Required Qualifications • Ph.D. in Environmental Engineering, Chemical Engineering, Environmental Chemistry, or a related field. PhD must be awarded
-
minimum of one year eligibility remaining. • Strong background in computational modeling, AI-assisted modeling, microbial testing, or paper chemistry and structural evaluation. • Experience with fiber-based
-
predictive modeling approaches to understand corrosion mechanisms and coolant/fuel chemistry in extreme conditions. The successful candidate will oversee corrosion-focused projects sponsored by industry and/or