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[Sponsors] |
Job Record #19417 | |
Title | Hydraulic Predictions using Artificial Intelligence |
Category | Job in Academia |
Employer | New Jersey Institute of Technology |
Location | United States, New Jersey, Newark |
International | Yes, international applications are welcome |
Closure Date | Wednesday, January 01, 2025 |
Description: | |
Modeling Hydraulics and Hydrology and Machine Learning in NJ/NY The Center for Natural Resources (CNR) at the New Jersey Institute of Technology (NJIT) http://cnr.njit.edu has an immediate opening for multiple postdoc positions in the area of modeling water flow and solute transport in rivers as subject to coastal and inland flooding. The position is offered on the Main Campus of NJIT in Newark, 20 minutes from downtown New York City. The salary is very competitive. The research position requires conducting simulations for water flow and solute transport in rivers under steady state and transient (flooding, drying) conditions. In many cases, the numerical results would need to be validated by comparison to experimental results using advanced parameter estimation techniques. The work might require the use of Machine Learning and Artificial Intelligence to predict flooding and solute contamination. The qualified candidate would have a PhD in Environmental, Mechanical or Civil Engineering, and be able to conduct numerical simulations using existing programs and programs that they develop. They must have a strong understanding of hydrodynamics and turbulence and transport of chemicals in open water (i.e, the advection diffusion equation). The applicant needs to have a demonstrated ability in writing articles for publication in top journals, to possess excellent communication skills to mentor graduate students, and to interact with scientists/engineers in other fields. Interested applicants are urged to submit their application in one pdf file that contains a cover letter, CV, and research statement to the Center Director, Distinguished Professor Michel Boufadel, boufadel@gmail.com. |
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Contact Information: | |
Please mention the CFD Jobs Database, record #19417 when responding to this ad. | |
Name | Michel boufadel |
boufadel@gmail.com | |
Email Application | Yes |
Phone | 9735965657 |
URL | http://cnr.njit.edu |
Address | 323 MLK Blvd |
Record Data: | |
Last Modified | 07:41:35, Sunday, October 13, 2024 |
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