Postdoctoral Appointee - Numerical Modeler/Coastal Hydrology

Argonne National Laboratory

Lemont, IL

Job posting number: #7057199 (Ref:406361)

Posted: April 30, 2019

Application Deadline: Open Until Filled

Job Description

Argonne National Laboratory, a U.S. Department of Energy national laboratory located near Chicago, Illinois, has an immediate opening for a post-doctoral appointee in its Environmental Science Division in the area of atmospheric science. The successful applicant will assist Division scientists from the Atmospheric Science and Climate Research group and Hydrology group in a variety of activities. In particular, this position is for applications of coastal hydrology models for assessment of extreme event risks. The candidate must possess considerable knowledge of coastal hydrodynamics, numerical model development, and mesh generation, working knowledge of ADCIRC model and its applications, and expertise and interest in data analysis and visualization. Experience in using HPC systems, strong background in numerical modeling and in performing data analysis is required. Minimum educational requirement for this position is a Ph.D. in physical science or engineering in a related field. This is a two-year position that we want to fill by June 2019.Responsibilities:Contributes technical expertise through analysis and support for programs and projects associated with earth system science and other environmental research programs. Develops, evaluates, and applies analytical approaches, synthesis activities, computational tools; compiles results, prepares reports, publications and documentation. In particular, this position is for projects related to applying and developing coastal hydrodynamic models in HPC environment. Works on coastal storm surge model (ADCIRC) and assists in developing risk analysis from coastal flooding.

  • Completed Doctorate Degree before starting as a Posdoctoral Appointee.
  • Technical knowledge of coastal storm surge models, ADCIRC in particular.
  • Technical knowledge in grid generation techniques for coastal storm surge modeling.
  • Skill in clear, concise writing of technical papers and in interacting and communicating effectively with colleagues.
  • Problem solving skills.
  • Organizational skills and flexibility in coordinating a broad spectrum of activities.
  • Knowledge of ocean dynamics and numerical computation techniques
  • Knowledge of using observational datasets from tide gauges, robotic floats and satellite datasets for ocean properties and costal landscape and structures.

This position description documents the general nature and level of work but is not intended to be a comprehensive list of all activities, duties and responsibilities required of job incumbent. Consequently, job incumbent may be required to perform other duties as assigned.

As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.



Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.


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