FLAMEL is a doctoral student training program designed to develop innovations in computing, mathematics, material science, and manufacturing in order to accelerate the creation of new high performance materials for applications. The goal of this program is to develop and employ advances in areas such as machine learning algorithms and modeling and simulation for materials applications in an emerging field known as materials informatics. Funded the NSF IGERT program, it provides 24 two-year traineeships to doctoral students over a five-year period (2014-2019).
The Atlanta Data Science for Social Good (DSSG) program is an intensive, ten-week paid internship experience that places students on multidisciplinary teams working under the supervision of a professor on a problem that comes from a partner in the City of Atlanta or a local non-profit company. Teams solve a real problem in a real context and to give partners an opportunity to tap the skills and ingenuity of a student team. Teams comprise technical expertise and public policy expertise, for a truly interdisciplinary approach. Problems explored come from a variety of domains, including transportation, energy, smart urban development, sustainability, and food systems.
Several short courses coordinated by the IRI will complement these academic degrees to enhance industry-academic relations and to facilitate cross-college collaboration within Georgia Tech. We will work to partner students in data science-related disciplines with students working in data-intensive science and engineering disciplines to strengthen the value of research and education in both programs. In addition, we will look for opportunities to train data scientists in industry through summer courses and short traineeships.
Student-Run Data Analytics Service Center
For more information please contact Srinivas Aluru (CSE), Le Song (CSE), or Hongyuan Zha (CSE)