Publisher
source

Washington State University

PhD and Master's Positions in Techno-Economic Analysis, Life Cycle Analysis, and AI-based Supply Chain at Washington State University Washington State University in United States

Degree Level

Master's, PhD

Field of study

Environmental Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

Washington State University

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Keywords

Environmental Science
Mechanical Engineering
Chemical Engineering
Artificial Intelligence
Techno-economic Analysis
Machine learning

About this position

Washington State University-Tri-Cities is seeking two PhD students and several master's students to join a research group starting in August 2026. The research focuses on techno-economic analysis (TEA) and life cycle analysis (LCA) in the areas of low-carbon fuel and material production, data center power supplementation, and artificial intelligence (AI)/machine learning (ML) based supply chain analysis. The ideal candidates will have backgrounds in mechanical engineering, environmental science, chemical engineering, or related fields. Applicants are encouraged to submit a CV, transcripts, and writing samples to the supervisor, Dr. Guiyan Zang, at [email protected]. This opportunity is ideal for students interested in sustainability, advanced manufacturing, and the application of AI/ML in engineering systems. The application window is open for Fall 2026 admissions. For more information, candidates can refer to the LinkedIn post or contact the supervisor directly.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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