Zeda Yin

Florida International University’s Department of Civil and Environmental Engineering is advertising two fully funded PhD positions in Urban Water Systems , Artificial Intelligence , and Machine Learning . The students will join the WISE Research Group and work on NSF-funded projects related to combined sewer overflows (CSOs) , sewer system modeling, and real-time control/forecasting. The research combines computational fluid dynamics (CFD) , the Illinois Transient Model (ITM) , PySWMM , open-source hydraulic modeling, and AI/ML methods for predicting and mitigating sewer overflows. Relevant research themes include urban water systems, civil engineering, environmental engineering, hydraulic modeling, anomaly detection, sensor placement, physics-based AI, and data-driven optimization. The project description also mentions lab-scale overflow experiments and field-scale validation in real sewer systems. Eligibility highlights: applicants should have strong programming skills, especially in Python and C++ ; familiarity with open-source modeling tools is expected; experience with machine learning/AI is required; and some experience with fluid laboratory experiments is also required. Highly motivated candidates with strong research backgrounds are encouraged to apply. The positions start in Spring 2027 or Fall 2027 . No application deadline is stated in the post. Interested candidates should email a CV and a PDF of their most relevant publication to the PI’s email address. Shortlisted applicants will be contacted for a Skype interview. Institution: Florida International University , Miami, Florida, USA.