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George Huber

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Postdoctoral Researcher in Process Modeling, TEA, LCA, and AI-Based Methods at University of Wisconsin–Madison University of Wisconsin-Madison in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral researcher position; funding details, stipend, and duration are not specified in the post text provided.

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Country

United States

University

University of Wisconsin-Madison

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Keywords

Computer Science
Environmental Science
Chemical Engineering
Artificial Intelligence
Process Engineering
Uncertainty Analysis
Life Cycle Assessment
Sensitivity Analysis
Techno-economic Analysis
Kinetics Modeling

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About this position

The Huber Research Group in the Department of Chemical and Biological Engineering at the University of Wisconsin–Madison is hiring a postdoctoral researcher.

This opportunity sits at the intersection of process modeling, kinetic modeling, process design, techno-economic analysis (TEA), life cycle assessment (LCA), uncertainty and sensitivity analysis, and AI-based methods. The role is aimed at extending the scope, scale, and rigor of conventional analysis approaches in chemical engineering and process systems engineering.

The post mentions mentorship from George Huber, Bill Banholzer, and Sarang Bhagwat, and highlights exciting projects at the frontier of process systems engineering and AI-enabled analysis. This is a strong fit for candidates interested in sustainable process development, modeling, and data-driven engineering methods.

Institution: University of Wisconsin–Madison
Location: United States
Position: Postdoctoral researcher
Research areas: Chemical engineering, process modeling, TEA, LCA, AI methods, uncertainty analysis

Application: A LinkedIn short link and a job-spec PDF are provided in the post. No deadline, funding amount, or eligibility specifics are stated in the text shown.

Funding details

Postdoctoral researcher position; funding details, stipend, and duration are not specified in the post text provided.

What's required

Postdoctoral researcher in chemical engineering or a closely related field with interest in process modeling, kinetic modeling, process design, techno-economic analysis, life cycle assessment, uncertainty and sensitivity analysis, and AI-based methods. The post emphasizes research at the intersection of process systems engineering and AI-based analysis; no specific degree beyond postdoctoral level, test scores, or GPA requirements are mentioned.

How to apply

Use the linked application materials and contact the Huber Research Group if interested. Review the job specification PDF and follow any instructions in the posting or linked document.

More information can be found here

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