Research Engineer

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Company Description

They help the world see new possibilities and inspire change for better tomorrows. Their analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.

Job Description

Development of probabilistic flood hazard models for different countries

Roles and Responsibilities

Manage the collection and analysis of hydrological data using automation, to integrate the high quality data into the modeling process

Develop computer programs to automate data capture and post processing of model results

Working with various modules of the flood hazard models.

Qualifications

Education Qualification:

Master's in Water Resources Engineering in Hydrology / Hydraulics or related fields

Total Experience: 2-4 years

Must-Have skills:

Strong fundamentals in stochastic and catchment hydrology and open channel flow

Working with hydrologic modeling in a probabilistic framework (Monte-Carlo simulations)

Experience in working with the existing hydrologic and hydraulic models, e.g., HEC series models

Implement hydrologic and hydraulic models over a wide range of spatial scales

Experience in working with GIS applications preferably ARCGIS

Strong programming skills in R statistical language / Python / MATLAB and C++ /C#

Good communication and presentation skills

Desirable Skill Set Required (Add-on)

Basic knowledge of probability theory and statistics

Has experience/ knowledge of flood inundation modelling approaches

Basic knowledge in SQL