Data-driven Materials Design

MDI researchers collaborating in the lab.

The new Data-drive Materials Science REU offers a unique interdisciplinary experience that integrates cutting-edge data science techniques with the design of novel materials. 

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REU students will be introduced to the field of Materials Informatics and learn how to apply the tools of artificial intelligence to create novel materials with preferred characteristics. Our program offers a combination of formal education based on a cutting edge curriculum developed by faculty in the UB Department of Materials Design and Innovation, hands-on training and professional development. We will prepare a future generation of materials scientists who are fluent in both materials science and information science. 

The internship also includes a scientific communications workshop, educational seminars and social activities. At the end of the 10-week program, students present their research results to the group. Internships run from the day after Memorial Day through July. Interns that require on-site housing will check into their dorms around Memorial Day, May 25 and check out around Saturday, August 1. The REU program will cover flights to and from the internship location in Buffalo, N.Y. and housing in the University at Buffalo dormitories for the summer.

Program Highlights

  • A $6,000 stipend in addition to housing and travel expenses.
  • An authentic full-time research experience with hands-on training.
  • Regular workshops on scientific presentation skills throughout the summer.
  • Seminars on current research and introductory courses on data-driven approaches, materials science, and python for machine learning.
  • Professional development activities, career mentoring, and social events.
  • Networking with leading researchers, scientists and educators through workshops and conferences, including the Erich Bloch Symposium hosted by the Department of Materials Design and Innovation.


All applicants should be interested in pursuing a career in research and must be U.S. citizens or U.S. nationals. Women and minorities underrepresented in STEM are strongly encouraged to apply. All positions are contingent upon approval of NSF funding.

Application Process

  1. Complete the online application form.
  2. Submit a current CV or resume.
  3. Submit a copy of your unofficial transcripts.
  4. Ask your reference to submit a letter of recommendation (see guidelines below).

Unofficial transcripts, CV or resume and a letter of recommendation should be uploaded to your online application. 


Our Summer 2020 NSF REU programs have been officially delayed until Summer 2021.

Letter of Recommendation Guidelines

  • In accordance with federal laws and university policy, authors of letters of recommendation are asked to refrain from comments regarding candidate's race, color, gender, religion, age, physical or mental disability, marital status, sexual orientation, national origin, citizenship, medical condition, or political affiliations, beliefs or activities.
  • Letters should indicate the applicant’s full name, preferably in the first paragraph and in the file name.
  • Letters should state the writer's relationship to the applicant and describe their interactions with them.
  • Letters should be written on professional letterhead and include the writer’s digital signature.
  • Letters should conclude with a signature identifying the writer's personal information: full name, title, institution, mailing address, telephone number and email address.