Scientist, Research Scientist, Data Scientist

Job Title:

Scientist I

This position will conduct computational research to characterize and model uncertainty in probabilistic rainfall and flood hazard applications. The incumbent will assist principal investigators with project management, preparation and submission of project reports, and coordination of activities among research group members and outside collaborators. The incumbent will also write and publish research articles, develop grant proposals, and assist in managing routine operations of the research group, including assisting with student advising in accordance with University policies.

Department:
College of Engineering - Civil and Environmental Engineering

Compensation:
The starting salary for the position is $72,000, but is negotiable based on experience and qualifications.

Required Qualifications:

A PhD and a minimum of 3 years of postdoctoral experience in precipitation science or a related field is required. The candidate must have sufficient technical background, through a combination of education and work experience, to carry out original research using an integration of remote sensing products, weather/climate model outputs, hydrologic science, data science, and stochastic modeling.

Preferred Qualifications:

A successful candidate will have background and familiarity with all or some of the following:

• Precipitation measurement
• Precipitation uncertainty quantification and error propagation
• Stochastic or dynamical downscaling of climate model variables
• Statistics, statistical software
• Python, C++, MATLAB, or other programming language, scripting
• High performance and high-throughput computing
• Scientific proposal writing
• Hydrologic modeling

Education:

PhD required in precipitation science or related field

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