Data-Driven Discovery and Engineering from Atoms to Processes (3DEAP)
3DEAP addresses a critical technological need with far-reaching societal impacts: the training of chemical, biological, and materials engineers and scientists in data science and systems engineering through convergent research and education, to enable them to take full advantage of the transformational potential that data science brings in the discovery and design of chemicals and materials.
Bridging chemical, biological, and materials engineering with data science and systems engineering, through convergent education and research
Tackling multi-faceted research problems in energy, sustainability, and health, by bringing together experts in atomistic simulations, materials, data science, and systems engineering
Developing essential skills in communication, teamwork, and leadership skills, ethics, inclusion and cultural competency, and mental health awareness
An integrated graduate curriculum that teaches the fundamentals of data science and their domain application
An industry-university collaboration framework, comprising design and research projects, internships, an industry-academia forum, and a short course for industry
A suite of coordinated training activities aimed at improving skills necessary for competency in the workforce
Note that there are two types of trainees who participate in the NRT program:
NRT-Funded Students: This term refers to students who are receiving funding from the 3DEAP Program to continue their graduate education.
Non-NRT Funded Students: This term refers to students who are either funded through another source (PhD students on an RA, TA, fellowship, etc.) or students who are not receiving funding for their graduate education (e.g. Master's students).
For more information about the differences between NRT-Funded and Non-NRT Funded Students, please review the Application page.
*For the M.S. in Data Science, please see example coursework plans for funded trainees within Chemistry, Chemical Engineering, Materials Science, and Aerospace Engineering and Mechanics. Alternative Data Science Master's degrees may be pursued instead of the M.S. in Data Science within CEMS, pending consultation and approval from 3DEAP Program Director.
The 3DEAP NRT program will provide interdisciplinary training in data science, optimization, and chemicals/materials engineering and a holistic training experience through:
Participation in industry-university collaborative activities where the trainees will interact and work with industry leaders in this field
Through the Data-Driven Discovery and Design (4D) program of IPRIME, our industrial consortium, NRT trainees will have unique opportunities to participate in industrial internships
Mentorship from industrial partners
Emphasis on co-advised projects that will provide trainees with unique opportunities to bridge scientific domains and make cutting-edge contributions in the frontiers of materials discovery
Training in mental health, inclusivity, time and project management, teamwork, and cultural competency to position trainees as strong professionals in the modern workforce
An NRT trainee cohort that fosters a community to grow, share, and learn various strategies for being effective researchers, students, and professionals
Funded trainees will receive a stipend for their second (and potentially third) year of their PhD program
Both funded and unfunded trainees can apply for Development Awards to fund opportunities to nurture professional skills
Come join this exciting new program and get trained as some of the first professionals fluent in data science, systems engineering, and chemical/materials engineering for discovering and commercializing novel materials and processes!
This project is supported by the National Science Foundation under Grant No. 2345719.