Postdoctoral Research Fellow in Data, AI and Flooding Research

Postdoctoral Research Fellow in Data, AI and Flooding Research

Applications are invited for one Postdoctoral Fellow position in the hydro-environment informatics research lab led by Dr Roger (Ruo-Qian) Wang at the Department of Civil and Environmental Engineering, Rutgers University (www.whirl-lab.com). The research direction will be the integration of big data, artificial intelligence with numerical models for coastal flooding and/or offshore wind energy. The Postdoctoral candidate will have opportunities to develop and apply novel data-driven analysis methods to analyze high-fidelity numerical models of coastal and hydro-environmental problems. The potential research projects will focus on data fusion and data assimilation of the emerging social media, remote sensing, and the Internet of Things. The position is fully funded and open to both international and domestic students.

A PhD degree in science, engineering or related fields is required and should not be earlier than September 2017. Priority will be given to candidates with a background in hydrodynamics, hydrology, numerical modeling, data science, and/or uncertainty quantification. Programming skills in Python, C++ or MATLAB are essential. Motivated applicants with strong communication skills, especially experience in scientific writing and presentation are more preferable.

The postdoctoral fellow is expected to start in fall 2020. The interested candidate should send his/her CV to Dr Wang (rq.wang AT rutgers.edu) for further guidance of application.

Dr Roger (Ruo-Qian) Wang is an Assistant Professor at the Department of Civil and Environmental Engineering, Rutgers University. He has conducted postdoctoral research at the University of California, Berkeley, and Mechanical Engineering at MIT. He has obtained PhD in Environmental Fluid Mechanics at MIT.

Job Type: Full-time

Education:

  • Doctorate (Required)
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