The Husic Research Group within the Department of Civil and Environmental Engineering at Virginia Tech is seeking a postdoctoral associate whose research interest relate to Learning from Landscapes, a modeling framework that leverages interpretable machine learning to understand how landscape connectivity influences water quality. The selected candidate will work alongside and be mentored by Dr. Admin Husic at the Occoquan Watershed Monitoring Laboratory located in Northern Virginia.

The candidate will have the opportunity to contribute on a recent NSF CAREER project that integrates game theory concepts to explain water quality variations across time and space, from local to global scales. The project will leverage large-sample datasets and high-performance computing to advance transferable insights into what controls variable patterns of riverine biogeochemistry. In addition, candidates will have the opportunity to co-develop their own research projects with Prof. Husic.

While the primary focus of this position is to conduct and disseminate research related to human impacts to water quality, the candidate will be provided opportunities to pursue additional career development activities, such as developing new research skills, establishing a professional network, proposal development, mentoring students, preparing research reports, and/or teaching. A mentoring plan will be developed between Prof. Husic and the candidate at the beginning of the position to determine which opportunities best align with the candidate’s career goals. The candidate will be expected to travel to present research at regional and national conferences.