MS and PhD positions with full graduate research assistantship (GRA) and postdoc positions in the Department of Electrical Engineering are available in Fall 2022 or Spring 2023 at the University of South Carolina (USC), Columbia to develop reliable perception for unmanned maritime systems. The GRA will fund MS/PhD tuition, fees and health insurance, and stipend. The position entails
Image Analysis, Radar and Radio Analyses
The project will investigate and develop image processing and signal analysis algorithms and models for small object detection and identification in maritime environments. Initial focus of this position will be to establish quantified performance levels achievable with radar.
- Bachelor’s degree in a relevant engineering field of study from an accredited college or university.
- Hands-on experience with computing in Matlab.
- Strong interest and self-motivation to perform cutting-edge research and conquer challenges in real-world engineering and to publish high-impact papers
- Must be a US permanent resident or a US citizen.
- Experience in doing wireless channel propagation analyses, computer simulations, and measurements.
- Experience with radio frequency (RF) measurements, analyses, and simulations.
- Strong understanding of the state-of-the-art (and limitations) in radar performance, and understanding of synthetic aperture radar (SAR).
USC is the flagship university in the State of South Carolina, and the College of Engineering and Computing is ranked No. 1 in the State of South Carolina for faculty research productivity.
The group of Dr. Matolak at the Wireless Science and Engineering (WiSE) Laboratory focuses on wireless communications at the lowest few layers of the communications protocol stack, with most work at the physical layer (PHY). Areas of investigation include wireless channel measurements and models from HF to mmWave bands for a range of applications, waveform design and performance analysis (modulation and detection), aviation communications, and covert and secure communications. To apply, please send your CV/Resume, list of publications, transcripts, etc. in a single PDF file to Dr. Matolak (email@example.com) with the email subject “Position Application”.