NSF Research Traineeship: Internet of Catalysis

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Academic Level:
Graduate Students (Masters)
Graduate Students (PhD)

Description:
The Internet of Catalysis is an AI and Machine Learning Traineeship at the University of Kansas sponsored by the National Science Foundation.

Here is your chance to gain expertise at the intersection of data science and chemical research. Join our team and go beyond where engineers and chemists have gone before to discover novel technologies that help solve the world's most pressing energy and materials problems. Whether you?re working with artificial intelligence, big data, machine learning, deep learning, neural networks, natural language processing, chemical synthesis, or reaction engineering, our traineeship challenges you to push the limits of your knowledge in the pursuit of impactful and commercial real-world applications.

What You'll Do

As a trainee, you will apply the latest Machine Learning techniques to chemical data sets while collaborating directly with students from computer science, chemistry and chemical engineering. The results of your research will drive data-led breakthroughs in important areas, like transforming carbon dioxide into fuels, fibers, paints, plastics and so on.

Who We're Looking For

Talented master?s or Ph.D.-seeking students in computer science, chemical engineering and chemistry are encouraged to join our inclusive and diverse team. We value strong communicators with excellent analytical and problem solving skills. Computer science majors are not required to have prior experience in chemical research.

What We Offer

You will get 1-year of specialized training with an option for a second year to delve deeper into your project as an "Enterprising Trainee". You will gain professional growth to build skills to be successful in data-driven discovery, one of today's most exciting and promising careers. U.S. citizens and permanent residents will earn an attractive stipend of $34,000/year and optional graduate certificate. International students are also welcome to participate with funds from other sources.

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Program Materials:

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This program is funded by:
National Science Foundation (NSF)


Page last updated 3/10/2024
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