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Post-Doctoral fellow at NOAA-CESSRST Center, The City College of New York

Posted on October 11, 2018

Post-Doctoral fellow at NOAA-CREST Center, The City College of New York

The Postdoctoral Fellow position is a 12-month position (extended to 24 month) at the NOAA-CESSRST Center, The City College of New York, 160 Convent Ave, New York, NY, 10031. Candidate will be co-located for 6 months in

NOAA/ESRL facility at Boulder CO.


The selected candidate will develop and contribute new pre- and post-processing data analysis tools for the National Water Model (WRF-Hydro Modelling System). This includes evaluating existing methodologies and developing novel techniques for analyzing terrain data and hydrological model inputs and outputs. The candidate will develop scripts and algorithms for automating the pre- and post-processing algorithms and for improving the efficiency of WRF-Hydro model setup, calibration and analysis. Candidate will be communicating research results through publication in peer-reviewed journals, meeting proceedings, project websites and presentations at scientific meetings, and develop technical documentation and training material on the design and use of new data processing tools for U.S. federal partners and the broader community. The post-doc will be responsible for preparing quarterly and annual reports summarizing progress on project objectives and writing journal articles describing project results.

Minimum Qualifications

Candidates must be US Citizens and have received a PhD within the past two years (24 months) from an accredited college or university.

Preferred Education/Credential:

Applied Math, Geoscience, Hydrology, Meteorology, Engineering (Civil, Geological, or Environmental), or related field.

Candidates that demonstrate any or all of the following are preferred: (1) strong skills in independent conceptual model development at multiple scales, statistical data analysis, machine learning, and analysis and visualization of complex simulation results; (2) fluency in R and Python; (3) experience with managing scientific workflows, software modular design and version control to optimize efficiency; (4) experience with the numerical solution of nonlinear/linear PDEs governing physical processes; (5) experience with Fortran90/C/C++, the Linux operating system, and parallel programming paradigms; (6) experience using SWAT, WRF-Hydro, or equivalent.

Compensation and Benefits

Salary commensurate with education and experience.


Submit your application online or email. The application must include:

  • Cover letter describing your interests and qualifications for the position and how the position will advance your career objectives,
  • Your Curriculum Vitae,
  • Transcripts from all universities you attended,
  • Copies of representative publications, and
  • Names and contact information for three professional references.

Review of applications will start Sept 30, 2018. The position will remain open until filled. Contact Prof. Reza Khanbilvardi (Khanbilvardi@ccny.cuny.edu) for additional information.