Graduate Research Assistantship Openings
Follow the links below to learn more about available graduate research assistantships in the UGA College of Engineering.
Ph.D. Opening in Biosensor Research (pdf)
The Nano Electrochemistry Laboratory looking for two Ph.D. students to work on the design and development of biosensors for detection of bacterial and fungal pathogens that are of relevance to healthcare and food safety.
Ph.D Opening in Photonics Research (pdf)
The Lightwave and Microwave Photonics Lab (WAVE Lab) at the University of Georgia has openings for graduate students with interests in bio-inspired photonics, soft robotics, microwave photonics, fiber optic sensing, and silicon photonics.
Ph.D. Opening in IoT/CPS Research (pdf)
A Ph.D. research assistantship position is available in the research area of IoT/CPS data analytics and blockchain. The candidate will join the Sensorweb Research Laboratory to create innovative IoT/CPS time-series data analytics methodologies and blockchain systems for health and security monitoring applications.
Ph.D. Opening in Biometrics Research (pdf)
The primary responsibility of the GRA student positions will be to (a) advance the filed of computer vision and biometrics using either face, iris or voice as the primary biometric trait; (b) lead, participate and support data collection activities, i.e. capturing biometric images and videos using different sensors.
Ph.D. Student Assistantship in Atmospheric Science/Coastal Engineering (pdf)
The general scope of the Ph.D. project is to assess the pre- and post-disaster performance of natural (e.g., coastal wetlands, dunes, barrier islands, etc.) as proxies for the performance of nature-based features. The Ph.D. student will be responsible for developing novel field-data collection methods, performing coastal hydrodynamic model simulations, and linking measurements and models to develop guidance.
Ph.D. Student Assistantship in Estuarine Hydrodynamics (pdf)
The general scope of work includes hydrodynamic modeling of coastal salt marsh environments and a significant fieldwork component. The Ph.D. student will develop a hydrodynamic model to simulate tidal flows in complex marsh environments and examine conditions to changing marsh and tidal creek landscapes. The student will also assist in field campaigns involving deploying sensors (ADCPs and pressure transducers) and ecological measurements of marsh grass and oyster reefs.
Ph.D. Student Assistantship in Coastal Nature-Based Feature Design (pdf)
The general scope of work includes hydrodynamic modeling of the coastal nature-based features (e.g., barrier island and salt marsh environments) with a substantial fieldwork component. The Ph.D. student will develop hydrodynamic and sediment transport models to assess flood mitigation strategies for various landscape configurations that will inform the future engineering design of nature-based infrastructure. The student will also assist in field campaigns involving RTK-GPS surveys, and deployment of monitoring equipment (ADCPs and pressure transducers), among others. There will be a tight-knit collaboration with other graduate students and post-docs across an interdisciplinary research team.
Ph.D. Opening in Machine Learning/Deep Learning for Biological Sensor Applications (pdf)
The general scope of work includes learning and understanding different machine learning/deep learning models, modifying or developing new models, writing Python code or using Statistic software packages. The GRA student will engage with students involved in sensor development, understand the principle of the sensor under development, the characteristics of the señor data, and learn how to collect the data.