Shichao Liu

Worcester Polytechnic Institute (WPI) is recruiting for one PhD student and one postdoctoral researcher connected to an NSF-funded project on wildfire/WUI smoke, fire emissions, multiscale modeling, and the built environment. PhD opportunity: Multiscale Wildfire Smoke Modeling for the Built Environment . The research includes multiscale smoke transport, building interactions, outdoor-to-indoor transport, and smoke-resilient design. The start term is Spring or Fall 2027 . Postdoc opportunity: WUI Fire Emissions, Experiments and Multiscale Modeling . The postdoctoral researcher will contribute to WUI fire experiments, data analysis, and modeling, with opportunities to expand into multiscale wildfire-smoke transport and built-environment research. Research keywords: wildfire smoke modeling, WUI fire emissions, multiscale modeling, smoke transport, outdoor-to-indoor transport, built environment, smoke-resilient design, experiments, data analysis. Eligibility highlights: applicants should be interested in the listed research areas; the post emphasizes experimental work, modeling, and analysis. No funding amount, tuition details, or deadline are stated in the post. How to apply: follow the linked application pages for the PhD and postdoc openings and review the project details before applying.

Worcester Polytechnic Institute is advertising a postdoctoral researcher position with Shichao Liu , Associate Professor at WPI. The research will focus on indoor airflow , ventilation , air distribution , indoor environmental quality , and computational fluid dynamics (CFD) . The successful candidate will contribute to a project that combines CFD modeling with laboratory-based measurements and machine learning (AI) . The post specifically mentions use of ANSYS Fluent and OpenFOAM , so applicants with experience in numerical simulation, airflow analysis, and experimental methods are especially relevant. This is a postdoc opening starting in Fall 2026 or Spring 2027 . The post does not mention funding details, stipend, or a formal deadline. Interested candidates should contact [email protected] directly and can also refer to the LinkedIn link provided in the post. Relevant study areas include mechanical engineering , environmental science , and computer science , especially where they intersect with indoor air quality, ventilation design, and data-driven modeling.

No summary provided for this position.