Do you want to be at the core of a fast-paced company that develops the next generation of flood intelligence technology? REOR20 offers an opportunity to be a key member of an exciting team that aims to help global communities and insurers control flood risk in the face of climate change.
Natural disasters pose a threat of growing importance, rendering risk understanding a key factor for enhancing resilience. At REOR20, we develop the next generation technology that delivers flood hazard intelligence timely and at the highest possible accuracy. Our technology combines high-fidelity computational engineering tools with innovative AI methodologies and constitutes a revolutionary paradigm change.
We are now hiring our core engineering team to build the first commercial-scale version of our product and deploy it to our early users. As a member of this core team, you will be involved in multiple tasks and undertake diverse responsibilities.
REOR20’s culture is open, flexible and inclusive. We strive for excellence, we are self-driven, we are comfortable working in a fast-paced environment, and we embrace the diverse problems presented in every façade of the company’s function. We promise you excitement, fun and a fulfilling cause: advancing natural disaster resilience globally.
We are looking for a skilled and motivated Hydrologist with strong computational science background to join us during the company’s growth phase. The chosen candidate will be working with the technical team to enhance our flood modelling capabilities and enable the company to scale and become a key player in the industry.
Develop, optimize and perform data pre-processing tasks relevant to hydraulic simulations (e.g. watershed delineation, DEM cleanup/conditioning, identification and numerical treatment of culverts, flood defense infrastructure etc.)
Prepare, conduct and analyze hydrodynamic simulations using our computational toolset
Aid in the development and validation of sub-models that emulate various processes related to the water cycle (e.g. infiltration, urban drainage system)
Contribute in building precipitation scenario event sets using both historical data and climate change projections
Identify, source and analyze a variety of spatial data to be used as input or augment the output of our flood simulation engine
You should apply if you have
Minimum MSc in Hydrology, Environmental science or related field
Demonstrated experience in computational hydrology and modelling of hydrologic processes
Demonstrated proficiency in Python and relevant geospatial libraries
Knowledge in Computational Fluid Dynamics and associated numerical methods
Fluency in English, you are self-organized and proactive with strong initiative-taking
Ability to quickly prototype ideas, perform critical analysis and use creative approaches for solving complex problems
Strong motivation and a desire to work in an energetic and fast-paced environment
Please sent your application at firstname.lastname@example.org.