PhD Research Assistantship in Computational Hydrology
A highly motivated Graduate Research Assistant is sought by the department of civil and environmental engineering at Syracuse University starting in the fall of 2020. Applicants should be committed to developing skills in environmental data science, large scale computing, and digital image processing to conduct research in support of a multi-agency federal initiative to develop a real-time flood detection algorithm for disaster response using satellite imagery and a hydrologic model. Specifically, applicant will conduct theoretical research in the use of flexible artificial intelligence to build robust predictive models at continental to global scales from multi-dimensional optical and synthetic aperture radar data from satellites. Applicants must possess bachelors and master’s degrees in civil and environmental engineering, remote sensing/environmental information science, statistics, computer science, or a closely related field. Applicants must possess a working knowledge of, or a demonstrated aptitude to learn: advanced statistics, programming in R/Python, bash scripting, use of GIS software (ArcGIS, QGIS, GRASS, SNAP, ENVI, or ERDAS), and technical writing. Successful applicants will value creativity and communication, and have an interest in working both collaboratively and independently. The research assistantship will include a competitive stipend, health insurance, and tuition waiver. To apply, please submit a brief letter of interest explaining interest in the research project and career goals, unofficial transcripts, resume/CV, recent GRE scores, recent TOEFL/IELTS scores (international students), and the names and contact information of three references to: Dr. Elizabeth Carter at email@example.com. Offer is contingent on successful admission into the graduate program at Syracuse University.