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Worcester Polytechnic Institute

Post-Doctoral Fellow in Techno-Economic Analysis and Life Cycle Assessment of Bioenergy Systems Worcester Polytechnic Institute in United States

Degree Level

Postdoc

Field of study

Environmental Science

Funding

Salary: $60,000 per year.

Country flag

Country

United States

University

Worcester Polytechnic Institute

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Keywords

Environmental Science
Chemical Engineering
Biology
Python Programming
Life Cycle Assessment
Impact Assessment
Circular Economy
Techno-economic Analysis
Computational Modelling

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About this position

This post-doctoral fellowship at Worcester Polytechnic Institute is based in the Department of Chemical Engineering and focuses on techno-economic analysis (TEA) and life cycle assessment (LCA) for advanced bioenergy systems and sustainable waste conversion technologies.

The successful researcher will build mass and energy balances, cash flow models, and LCA frameworks to assess the economic viability and environmental footprints of emerging thermal and chemical processes. The work also includes translating experimental and thermodynamic data into commercial-scale projections and simulation workflows.

The position is research-intensive and spans modelling, data integration, and dissemination. The fellow is expected to author peer-reviewed journal papers, technical reports, and sponsor deliverables, while also collaborating with experimental researchers and helping guide graduate students.

WPI describes itself as a vibrant, diverse research community with state-of-the-art facilities and a strong emphasis on collaboration, inclusion, and high-performance research.

Funding details

Salary: $60,000 per year.

What's required

Ph.D. in Chemical Engineering or a closely related discipline is required. The candidate should have demonstrated research experience in techno-economic analysis and life cycle assessment, preferably in bioenergy, biorefineries, or circular economy systems. Proficiency with process simulation tools such as Aspen Plus, HYSYS, or gPROMS and LCA databases such as SimaPro, OpenLCA, or Ecoinvent is preferred. Strong programming skills, especially Python, are preferred. A strong publication record and the ability to present technical results clearly are required.

How to apply

Submit a CV, a cover letter detailing your research background, and contact information for references through the application link. Review the posting carefully before applying.

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