From the Upstate to the Lowcountry, the University of South Carolina system is transforming the lives of South Carolinians through the impact of our eight institutions and 20 locations throughout the state. More than 50,000 students are enrolled at one of eight institutions, including the research campus in Columbia and comprehensive four-year universities in Aiken, Upstate and Beaufort. In addition, our Palmetto College campuses in Salkehatchie, Union, Lancaster and Sumter enable students to earn associate or bachelor’s degrees through a combination of in-person, online or blended learning. All of our system institutions place strong emphasis on service — helping to build healthier, more educated communities in South Carolina and beyond.

At the University of South Carolina, we strive to cultivate an inclusive environment that is open, welcoming, and supportive of individuals of all backgrounds. We recognize diversity in our workforce is essential to providing academic excellence and critical to our sustainability. The University is committed to eliminating barriers created by institutional discrimination through accountability and continuous process improvement. We celebrate the diverse voices, perspectives, and experiences of our employees.

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Ph.D. in Civil Engineering or closely related field.

Expertise in remote sensing, artificial intelligence, machine learning

Lead the Development of Data Retrieval and Image Processing Tools: Develop software tools for data retrieval and image processing to integrate heterogeneous flood mapping data sources and enhance the accuracy of flood maps. Will collaborate with the team to design and implement software solutions that efficiently retrieve and process flood mapping data from various sources.

Yes

30

Apply Machine Learning Techniques for Flood Inundation Mapping Optimization: Apply machine learning techniques to optimize flood inundation mapping methodologies to identify optimal flood mapping tools tailored to specific geographic and hydraulic characteristics, enhancing mapping accuracy. Analyze flood mapping data, train machine learning models, evaluate model performance, and iteratively refine mapping methodologies based on results.

Yes

20

Contribute to Intercomparison Experiments and Data Analysis: Participate in intercomparison experiments and analyze flood mapping data to evaluate the performance of different flood models and methodologies and identify areas for improvement. Collaborate with the research team to design experiments, analyze experimental data, and contribute to the development of standardized evaluation metrics for flood mapping accuracy.

Yes

20

Contribute to Research Dissemination through Paper Writing and Conference Participation:Write research papers and reports, and present findings at conferences to disseminate research findings, engage with the scientific community, and contribute to the advancement of flood mapping knowledge. Collaborate with team members to prepare manuscripts, present research findings at conferences, and actively participate in scientific discussions and knowledge sharing.

Yes

20

Guide Graduate Students and Contribute to Proposal Writing: Provide guidance and mentorship to graduate students involved in the research project and contribute to the writing of new research proposals to foster the development of graduate students’ research skills and contribute to the growth of the research program by securing funding for future projects. Oversee and advise graduate students on their research tasks, assist in proposal development by providing expertise, and contribute to proposal writing. Collaborate with the PI and other team members to identify funding opportunities and develop research