POSTDOCTORAL ASSOCIATE

New York University Tandon School of Engineering

The C2SMART Center at NYU Tandon School of Engineering is seeking to hire a Post Doctoral Associate to work with Dr. Omar Wani.

New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. The C2SMART Center conducts faculty-led research on topics related to urban mobility, reducing congestion, and transportation technologies. C2SMART Center, led by NYU Tandon School of Engineering, is a consortium of 7 nationwide universities working on cutting edge research, technology transfer, and education/workforce development.

Expectations

Candidates will be responsible for conducting research on projects related to assessing the resilience of distributed stormwater infrastructure using remotely sensed big data as predictive features. Under faculty supervision, the candidate will lead the investigation of resilience of distributed stormwater infrastructure, like culverts on road networks, by employing a combination of probabilistic, data-driven, and physics-based approaches on a C2SMARTER-funded research project. The candidate will develop techniques to reliably explore compound, interconnected, and cascading risks. The final goal is to generate generalizable insights on the adequacy of such global stormwater infrastructure under climate change. Apart from conducting state-of-the-art scientific research and publishing the findings in high-impact journals, the candidate will also be expected to work together, coordinate and communicate with collaborators (including partners and agency sponsors), participate in weekly meetings, mentor students, help with preparing teaching material (one course per semester), contribute to writing research proposals, and complete project tasks by assigned deadlines. The successful candidate will have a demonstrated background in large-sample hydrologic modeling, geospatial data analytics, and advanced statistics as exemplified by a strong publication record. Previous experience in deploying machine-learning methods in conjunction with large, remotely-sensed datasets using High Performance Computing is desired. The preferred candidate will possess one or all of the following; strong computational and statistical skills, excellent publication record and ability to work collaboratively in teams.

Salary range

In compliance with NYC’s Pay Transparency Act, the annual base salary for this position is $64,063 -$70,000 depending on the candidate’s experience and qualification.

Candidates should have a PhD in Civil Engineering or a related field. We welcome applicants with recent PhDs and individuals seeking additional postdoctoral training. Candidates will be required to present eligibility to work in the United States.

Applicants should submit, as one pdf, the following information:

• an up-to-date CV that includes a complete list of publications,

• a research statement that describes their interest and goals and how their research relates to this position,

• copies of up to three relevant scientific papers,

• names and contact information for three references

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