New advances in data science are revolutionizing the way that materials data are captured, curated, managed, and manipulated. Industry and national labs are increasingly in need of a science and engineering workforce trained in both materials and data science. In response to this need, the National Science Foundation Research Traineeship (NRT) award to the University of Illinois supported the creation of the Data and Informatics Graduate Intern-Traineeship in Materials at the Atomic Scale (DIGI-MAT).
Graduate curricula in data science and materials have historically been completely separate. The DIGI-MAT program is a fresh opportunity to integrate these curricula and create a focus on the convergent area of materials and data science. The program combines cutting-edge research with a new curriculum.
Trainees will complete 20 hours of coursework including professional development opportunities, on-demand skills training, and, at the core of the program, research internships with external partners. Upon completion of the program, students will receive an advanced PhD certificate.
The DIGI-MAT program is looking for motivated PhD students who are excited by the prospect of interdisciplinary research and possess the foundations of materials and data science with a motivation to dive deeper into this emerging domain.
The NSF-NRT program that backs DIGI-MAT is designed to encourage the development and implementation of new and potentially transformative models for STEM graduate education training. To explore other STEM graduate training programs established through NRT, visit the NSF website.