Artificial Intelligence for Engineering

College-wide search for new AI faculty members

The Walter Scott, Jr. College of Engineering is investing in artificial intelligence to prepare students for the rapidly evolving digital world. We are hiring 10 new AI faculty members in the next two years who are skilled in the foundations of AI in an engineering context.

Students will learn how to use AI to solve engineering challenges and generate data for AI models. Each new faculty member will have their academic home in one or two of the departments within the College.

Help the college prepare students for the digital transformation.

Apply now:

For full consideration, please apply by January 5, 2025.

The complex challenges facing our globe demand innovation at the accelerating convergence of the artificial intelligence and engineering fields. Climate change. Poverty. Access to clean water. Aging infrastructure. Declining natural resources. AI can help engineers revolutionize solutions to these massive problems for use in industry, health, commerce, energy, climate, agriculture, and critical infrastructure.

At CSU, we are building a new generation of engineers.

Engineers who can leverage existing tools from AI to understand, monitor and control existing systems.

Engineers who can build even better systems working side-by-side with faculty and students across campus in areas such as computer science, biology, physical sciences, medicine, social sciences, and many others.

"It's building a pipeline of tools that can do brand new things, and hundreds of designs per day. I foresee a machine learning gold rush when it comes to biomolecular engineering."
Christopher (Chris) Snow, Associate Professor in the Chemical and Biological Engineering department in the Walter Scott, Jr. College of Engineering
Chris Snow
Professor, Chemical and Biological Engineering

Using machine learning to develop prediction models capable of quickly assessing wind damage risks to building exteriors

Using machine learning to study global atmospheric dynamics and variability, in part to make skillful, accurate predictions of weather weeks in advance

Predicting protein structure and protein design, and building more accurate simulations in quantitative biology.

Harnessing the strength of AI to transform radar remote sensing and weather forecasting

We collaborate across campus through a unique ecosystem of partners, AI tools, and advanced educational opportunities.

We partner on numerous projects with other disciplines including Computer Science and the Data Science program in the College of Natural Sciences, the Data Science Research Institute through the Vice President for Research, and the Warner College of Natural Resources.

"The importance of AI to Earth system science will only continue to grow. AI techniques, for instance, can accelerate model simulations of the Earth system, allowing researchers to explore a wider range of scenarios and hypotheses. AI techniques can also improve the accuracy of Earth system predictions by better capturing complex, multi-scale interactions between the atmosphere, oceans and land."
James Hurrell, Department of Atmospheric Science; Walter Scott, Jr. Presidential Chair in Environmental Science and Engineering
James W. Hurrell Scott Presidential Chair of Environmental Science and Engineering
Professor, Atmospheric Science

Engineering AI News and Features

Kyle Hilburn, scientist at Colorado State University’s Cooperative Institute for Research in the Atmosphere or CIRA

Satellite-informed fire forecasting with artificial intelligence: a spark of innovation

At CIRA, Hilburn found an opportunity to make a difference by using machine learning to forecast wildland fire behavior using satellite information through the development of tools that simplify data acquisition and processing. 

CSU chemical and biological engineering Professor Chris Snow works with Kimberly Robins, Ph.D. student in Microbiology Immunology and Pathology, on a protein design, August 28, 2024.

CSU engineering professor creates new protein designs with revolutionary AI toolbox

“It’s building a pipeline of tools that can do brand new thing. One neural network thinks a target structure looks good, a second neural network thinks an amino acid sequence would work, and a third neural network checks the design.”

RSS Latest AI News

Featured Research Papers

A scientist works in University Distinguished Professor Carmen Menoni’s Advanced Thin Films Deposition Laser Lab in May at CSU. Credit: CSU Photography

Academic Programs

We teach students across the college to use a broad application of artificial intelligence techniques to enhance, innovate, and revolutionize various aspects of engineering.

Students learn how AI could improve the health of people and the planet through just about every career path:

A candid photo of Horst Caspari, viticulture professor at CSU’s Western Colorado Research Center, inspecting grape vines in a Western Slope vineyard.
Analyzing massive amounts of data to understand complicated engineering systems and decision-making in such areas as health monitoring and precision agriculture.
Professor Diego Krapf and post-doctoral student Arturo Matamoros working in lab in the Scott Engineering building on male infertility research.
Using generative design to help discover new alternatives in a range of fields including drug discovery, material science, and circuit design.
Improving efficiency, quality, and customization of manufactured products, such as integrating sustainability and resilience in infrastructure and food production systems.
CSU Stem4Kids participants gather around the EcoCar at the CSU Powerhouse Campus.
Enabling transportation systems to become smarter, more responsive, and better integrated, leading to safer, more efficient, and sustainable urban mobility solutions.
CSU Ph.D. student Allie Mazurek discusses the CSU-MLP with forecaster Andrew Moore.
Revolutionizing weather forecasting by making it more accurate, timely, and accessible, helping communities better prepare for and respond to weather-related events.

Learn from cutting-edge researchers

At the undergraduate and graduate level, you can learn from faculty who are on the cutting edge of an emerging, constantly changing field. We also have educators who are helping to train AI to be more accurate and useful in classroom instruction and tutoring.

Dan Baker speaks to a moderately-sized room full of high school educators, CSU staff, and faculty. The screens showing his PowerPoint slides bear an image of a calculator, and the words "Another way to think about LLMS: Large Language Models are calculators for words." Banners flanking Baker on the stage read "Engineering Exploration Day" with a stylized light bulb, and bear the Walter Scott, Jr. College of Engineering logo and CSU Ram's Head logo.
Working smarter: Engineer embraces artificial intelligence as tool to enhance human creativity

Teaching Associate Professor Dan Baker delivered the keynote address on artificial intelligence for teachers and education professionals at Engineering Exploration Day: Educators Edition.