Inside Higher Ed
Job Summary
Support modeling of marsh responses to sea‑level rise and conduct field work. This research grant position is established to support expanded activities or projects. Responsibilities
Analyze tide, LiDAR, SET, TSS, and vegetation data and incorporate them into models (30 % of time). Incorporate the latest 1D version of MEM into a 2D, spatially explicit form (20 % of time). Synthesize results and write papers for peer‑reviewed journals. Participate in field trips to salt marshes to collect data (5 % of time). Participate in meetings and make presentations to collaborating scientists and sponsors. Prepare reports and publications. Qualifications
Ph.D. in marine or coastal related science, engineering or geosciences (minimum required). High level knowledge of multiple computer languages, math, and statistics (preferred). Knowledge, Skills, and Abilities
High level skill in GIS, computer modeling, and data analysis using SAS. Proficient in programming languages VB, R, or Python. Knowledge of coastal processes, especially marsh ecology and geomorphology. Ability to work independently and as part of a team; effective oral and written communication skills. Evidence of productivity. Ability to perform manual work outdoors in a harsh environment (泥, 雨, 風, 永). Must be able to drive a pickup truck and boat. Excellent speaking and written English language skills. Must be able to travel overnight. Location & Salary
COLUMBIA, SC – $102,000.00–$127,000.00 (Full‑time, 37.5 hrs/week). EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.
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Support modeling of marsh responses to sea‑level rise and conduct field work. This research grant position is established to support expanded activities or projects. Responsibilities
Analyze tide, LiDAR, SET, TSS, and vegetation data and incorporate them into models (30 % of time). Incorporate the latest 1D version of MEM into a 2D, spatially explicit form (20 % of time). Synthesize results and write papers for peer‑reviewed journals. Participate in field trips to salt marshes to collect data (5 % of time). Participate in meetings and make presentations to collaborating scientists and sponsors. Prepare reports and publications. Qualifications
Ph.D. in marine or coastal related science, engineering or geosciences (minimum required). High level knowledge of multiple computer languages, math, and statistics (preferred). Knowledge, Skills, and Abilities
High level skill in GIS, computer modeling, and data analysis using SAS. Proficient in programming languages VB, R, or Python. Knowledge of coastal processes, especially marsh ecology and geomorphology. Ability to work independently and as part of a team; effective oral and written communication skills. Evidence of productivity. Ability to perform manual work outdoors in a harsh environment (泥, 雨, 風, 永). Must be able to drive a pickup truck and boat. Excellent speaking and written English language skills. Must be able to travel overnight. Location & Salary
COLUMBIA, SC – $102,000.00–$127,000.00 (Full‑time, 37.5 hrs/week). EEO Statement
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDS status, military status, national origin, pregnancy, race, religion (including religious dress and grooming practices), sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.
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