SUMMER UNDERGRADUATE RESEARCH
NSF-Funded REU Program: Application of Data Science to Chemistry
NSF REU Site: Application of Data Science to Chemistry
Atlanta, GA – May 22, 2022 until Friday, July 22, 2022
Are you interested in any of the following areas?
- Materials Chemistry
- Application of Data Science to Materials Chemistry
- Application of Machine Learning to Materials Chemistry
- Application of Mathematics to Materials Chemistry
- Application of Computational Chemistry to Materials Chemistry
Chemistry majors and other STEM (Science, Technology, Engineering and Math) majors interested in the interface between materials chemistry and data science are encouraged to apply to participate in a 9-week undergraduate research program hosted by Clark Atlanta University and Atlanta University Center Data Science Initiative. Participants will gain broad perspectives by participating in a dynamic research environment while working with a faculty mentor at one of the five research groups consisting of one chemistry and one data science faculty member. The program also includes several professional development activities, REU seminars with faculty and research scientists, and an end-of-program symposium.
Participants will receive a stipend of $5,400 for the 9-week program, a travel allowance, and housing on the Clark Atlanta University campus. In addition to this, the HarvardX’s Data Science certificate and GRE preparation costs for participating students will be covered under the program. Participants must be U.S citizens or permanent residents of the U.S. and currently enrolled in an undergraduate degree program at a U.S. college or university (be rising sophomores – seniors).
Download our Sample REU Research Projects HERE!
Application Deadline: TBD; however, early application is encouraged.
Questions? Contact Dr. Seyhan Salman at firstname.lastname@example.org
Acknowledgement of Support and Disclaimer
This material is based upon work supported by the National Science Foundation under Grant No. 2150206. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.