National Science Foundation
Research Traineeship Program
NSF Research Traineeship Program
The University of Missouri’s National Science Foundation Research Traineeship program (NRT) is a five-year doctoral program with integrated components of materials research, data science and analytics, and creative process. Each trainee will complete a graduate certificate in Data Science and Analytics with an emphasis area devoted to materials. Applicants should be enrolled in materials-relevant academic disciplines.
About the Program
Trainees will work alongside interdisciplinary faculty on materials-based research with applied data science (machine learning and artificial intelligence). Students will receive formal creativity to expand the impact of the research. They will also receive entrepreneurial training, may participate in internships and will have outreach opportunities.
Featured News
A five-year, $3 million grant from the National Science Foundation (NSF) is establishing a doctoral training program at the University of Missouri to help prepare the next generation of scientists and engineers to work in the emerging fields of materials science and data science and analytics.
With the support of a two-year, $800,000 grant from the National Science Foundation and an additional $300,000 from the university, Matt Maschmann and a team of researchers are purchasing new equipment which will allow researchers to conduct scientific experiments while simultaneously viewing reactions as they happen in real time.
Generative artificial intelligence (AI) systems such as ChatGPT can provide a lot of convincing answers to user queries. What these models can’t do so well is explain how they derived their result and how confident they are in the output. And large language models (LLMs) aren’t the only machines making decisions that impact us. Professor Derek Anderson has been studying complex issues around AI for 20 years.
A Mizzou Engineer is leading a project to improve access to research and educational computing resources needed to take advantage of artificial intelligence and machine learning (AI/ML).