NSF-funded postdoc opportunity in smart and connected coastal communities at UT Arlington

The Civil Engineering Department at the University of Texas at Arlington invites applications for a postdoctoral scholar position (up to 4 years duration) funded by a new NSF Smart and Connected Communities grant (https://www.nsf.gov/awardsearch/showAward?AWD_ID=2231557). The project will examine how distributed sensor technologies can be integrated into multi-level, regional decision-making networks to build community adaptive capacity to environmental and industrial hazards. The postdoc will work with Dr. Michelle Hummel (https://mhummel1.wixsite.com/website).

The postdoc will assist with project activities such as: deploying and validating environmental sensors; applying geospatial, statistical, and machine learning methods to analyze and synthesize large environmental datasets; developing process-based models to predict coastal hazards; creating data products for dissemination to diverse project stakeholders; and publishing research findings in peer-reviewed journals. The postdoc will have the opportunity to work with an interdisciplinary team of engineers, architects, and social scientists and to engage with community-based organizations in the Coastal Bend Region of Texas.

Candidates must have earned a doctoral degree in civil/environmental engineering or a related field. Desired qualifications include (i) a strong theoretical background in fluid mechanics and coastal processes, (ii) experience applying machine learning methods to environmental datasets, (iii) experience running numerical and/or machine learning models on high performance computing (HPC) systems, (iv) experience conducting field observations, (v) strong written and oral communication skills and a demonstrated publication record, and (vi) experience working in interdisciplinary teams. UT Arlington and Dr. Hummel’s research group are committed to promoting a diverse, equitable, and inclusive research and learning environment. Candidates from underrepresented groups in STEM are encouraged to apply.

Interested candidates should submit a CV and a cover letter summarizing the candidate’s interest in the position and relevant experience. Review of applications will begin immediately and continue until the position is filled. The desired start date is Fall 2022. More information about the department can be found on the UTA Civil Engineering website (http://www.uta.edu/ce/).

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