Research Associate, Research Scientist, Data Scientist

Research Associate

From the Upstate to the Low country, 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.

A research associate will investigate and develop autonomous systems, such as unmanned surface vessels. Design and develop sensors (camera and lidar), guidance, navigation, and control systems onboard unmanned surface vessels (USVs). Implement guidance, navigation, and control algorithms for autonomous vehicle operation in the littoral environment. Maintain and operate the USVs in littoral environments to acquire measurements required to meet research goals.

Analyze data acquired using MATLAB or other programming languages. Documenting technical results and presenting the results in project meetings and conferences. Assistance in proposal preparations, journal article preparation, and supervising undergraduate and graduate students.

Knowledge/Skills/Abilities
• MATLAB and Python programming.
• C++, Hardware, and software experience in developing autonomous systems.

Preferred Qualifications
• Ph.D. in Engineering, Physical Sciences, or related field, OR a Master's degree in a relevant engineering field of study with more than 3 years of experience.

We are only accepting applications submitted by July 16, 2026. The University of South Carolina does not discriminate in educational or employment opportunities on the basis of race, sex, gender, gender identity, transgender status, age, color, religion, national origin, disability, sexual orientation, genetics, protected veteran status, pregnancy, childbirth or related medical conditions.