Staff Associate I - Columbia Tropical Cyclone Hazard Model

  • Columbia University, Applied Physics & Applied Mathematics Department
  • New York, NY, USA
  • Mar 29, 2022
Full time Engineering & Applied Sciences Geology/Earth & Ocean Sciences Mathematics & Statistics

Job Description


The Department of Applied Physics and Applied Mathematics (APAM) at Columbia University in the City of New York invites applications for a Staff Associate I at the Morningside campus in New York City.

 The Staff Associate I primary responsibilities will consist of 1) testing and improvement of the Columbia Tropical Cyclone Hazard Model (CHAZ); 2) preparation of data produced using CHAZ for external partners. The Staff Associate will use python and other statistical programs to analyze and organize the data associated with CHAZ. Duties involve but are not limited to:

Functional Knowledge:  Knowledge of the Tropical Cyclone Hazard Model (CHAZ), basic statistics, and will use this information to solve data analysis and data set preparation. (30%)

 Problem Solving Skills: Based on the guidelines, protocols and procedures provided, the Staff Associate will assist with the analysis the Tropical Cyclone Hazard Model (Chaz) under the supervisor's guidance. Much of the assessments are based on precedent and experience with the Hazard Model (20%)

 Decision Making/Autonomy: Assist with research projects under PI supervision through the analysis of data (20%)

Technical Expertise: Utilizes python and statistical methods to assist in with the analysis and testing of the Hazard Model (15%)

 Communication Skills: Shares information and confirm results of data set. (10%)

Other related duties as assigned (10%)

The Staff Associate I works within the guidelines based on protocols and procedures while assisting with the testing and improvement of the Hazard Model and preparation of data sets.

 Applicants can consult http://www.apam.columbia.edu for more information about the department.

Preferred and Required Qualifications

Minimum Qualifications

  • Bachelor’s degree in Applied Mathematics, Atmosphere/Ocean Science, or a related science or engineering discipline required
  • Ability to communicate well in English, and work in a team
  • Demonstrated experience in working with large data sets and statistical analysis
  • Strong Programming Skills

 

Preferred Qualifications

  • Experience programming in python
  • Four years work experience preferred - may be substituted with education
  • Knowledge of atmosphere/ocean science is desirable but not strictly required

 

Application Details

Interested applicants should submit their applications through: apply.interfolio.com/104887Applications must include: (a) curriculum vitae (b) names of at least three references (c) statement of research (optional)

 

 


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