Click any of the Computational Science proposal summaries below for more information and to apply as a Junior Researcher. We’ll continue updating this site weekly with additional project opportunities through May 22. Please mark your calendar to check back once all the projects are available. Your deadline to apply is June 16.
Return to the complete list of available research opportunities.
Dynamic numerical models of flank collapse and tsunami (Christelle Wauthier)
Numerical dynamic models using finite, discrete elements, or other numerical method to simulate collapse of volcanoes and tsunami propagation. (Learn more and apply)
Geodetic inversion and optimization using physics-based FEMs models and AI (Christelle Wauthier)
We will develop and apply AI and computational modeling methods to volcanic processes that will have broader impacts on forecasting. (Learn more and apply)
Using AI to learn and generate physically consistent and realistic landscape topography and fluvial river bathymetry (Xiaofang Liu)
The objectives of the project are: (1) to investigate the inherent structural relationships between topography, river bathymetry, physiography, climate, precipitation, and river discharge. (2) to develop AI and ML models capable of generating synthetic, physically realistic landscape topography and river bathymetry. (Learn more and apply)
Transfer Learning for Predicting Local Atomic Order in Multi-Principal Element Alloys (Mia Jin)
This project aims to develop a machine learning framework that leverages transfer learning from binary alloy datasets to predict chemical short-range order (CSRO) in multi-principal element alloys (MPEAs), such as high-entropy alloys (HEAs), where data are scarce. (Learn more and apply)