The National Science Foundation has given the UC Merced Department of Applied Mathematics a five-year award to establish the Data-Intensive Research And Computing (DIRAC) Research Training Group (RTG) focused on the theme of Computational and Data-Enabled Sciences.
We are offering in 2023 a Research Experience Summer Undergraduate Mathematical Explorations (RESUME) in Data Science program, for which the flyer is found here: dirac_summer_research_flyer.pdf. Please note that applications are due on April 14, 2023.
Use this link to upload your application (transcript and one-page statement) . Please include your name as part of the name of the file you upload (full link is https://ucmerced.app.box.com/f/3ed36befa5e44a82b25047fe51084791 )
Use this link to upload a recommendation letter. Please include the applicant's name as part of the name of the file you upload (full link is https://ucmerced.app.box.com/f/911376b3e368459a8d157b5e161e6be6 )
Four different SMaRT teams constitute our RTG.
The DIRAC-RTG leverages strengths of the UC Merced Applied Mathematics faculty to provide undergraduate and graduate students, and postdoctoral researchers a comprehensive training experience that prepares them for careers in academia, industry, and government. This project will create a vertically integrated, community-based mentoring structure organized around specific, timely research themes. Additionally, the DIRAC-RTG is committed to diversity, equity, and inclusion in all its activities.
All participants in the DIRAC-RTG will form vertically integrated, Small Mentoring and Research Training (SMaRT) teams. Each SMaRT team will have faculty, postdoctoral researchers, and graduate and undergraduate trainees. The goal of the SMaRT teams is to create a collaborative and inclusive environment where research progress is accelerated, and participants receive the support and training they need to succeed.
There will be four SMaRT teams organized around the research areas of Energy and the Environment, Sensing and Imaging, Mathematical Biology, and Numerical Analysis and Scientific Computing, which all play key roles in research areas of national priority and are set upon the three UC Merced Applied Mathematics research pillars of modeling, scientific computing, and data analysis.