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Remote Flood Modeling Jobs (NOW HIRING)

Wood Plc

Software Development Engineer

Topeka, KS · On-site +1

Utilize open-source GIS-based tools to develop H&H modeling suites for flood modeling applications ... Experience with data processing imagery and LiDAR from web services, UAS, or other remote sensing ...

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Remote Flood Modeling information

What is remote flood modeling?

Remote flood modeling is the process of using computer models and remote sensing data, such as satellite imagery and aerial photography, to predict, simulate, and analyze flood events without being physically present at the flood site. This approach enables experts to assess flood risks, monitor ongoing floods, and plan mitigation strategies from anywhere in the world. Remote flood modeling combines hydrological data, weather forecasts, and advanced software to create detailed maps and forecasts, which are crucial for disaster response, urban planning, and environmental management.

What are the key skills and qualifications needed to thrive as a Remote Flood Modeler, and why are they important?

To thrive as a Remote Flood Modeler, you need a strong background in hydrology, GIS, and remote sensing, typically supported by a degree in environmental science, engineering, or a related field. Proficiency with modeling software such as HEC-RAS, ArcGIS, and remote sensing analysis tools, as well as familiarity with Python or MATLAB for data processing, is essential. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualifications ensure accurate flood risk assessments, informed decision-making, and effective communication of findings to stakeholders.

What is the difference between Remote Flood Modeling vs Remote Hydrologic Modeling?

AspectRemote Flood ModelingRemote Hydrologic Modeling
Required CredentialsBachelor's in Civil, Environmental, or Geospatial Engineering; GIS certificationsBachelor's in Hydrology, Environmental Science, or Civil Engineering; GIS certifications
Work EnvironmentRemote, GIS and modeling softwareRemote, hydrological data analysis and simulation
Industry UsageFlood risk assessment, urban planningWater resource management, watershed analysis
Common Search/ComparisonRemote Flood Modeling vs Remote Hydrologic Modeling

Remote Flood Modeling and Remote Hydrologic Modeling share similar skills and work environments, often requiring GIS and modeling certifications. Flood modeling focuses on predicting flood extents and risks, while hydrologic modeling emphasizes water flow and watershed processes. Both roles are essential in water management and urban planning, with overlapping tools and data analysis techniques.

What are some common challenges faced by remote flood modelers, and how can they be overcome?

Remote flood modelers often face challenges such as limited access to on-site data, coordinating with geographically dispersed teams, and managing large datasets from various sources. These can be addressed by leveraging advanced remote sensing technologies, utilizing cloud-based collaboration tools, and establishing clear communication protocols with team members and stakeholders. Staying updated with the latest modeling software and data integration techniques also helps ensure high-quality results despite the remote nature of the work.
More about Remote Flood Modeling jobs
What cities are hiring for Remote Flood Modeling jobs? Cities with the most Remote Flood Modeling job openings:
What are the most commonly searched types of Flood Modeling jobs? The most popular types of Flood Modeling jobs are:
What states have the most Remote Flood Modeling jobs? States with the most job openings for Remote Flood Modeling jobs include:
What job categories do people searching Remote Flood Modeling jobs look for? The top searched job categories for Remote Flood Modeling jobs are:
Remote Flood Modeling jobs near you
Infographic showing various Remote Flood Modeling job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 100% Remote job distribution.

Research Scientist - National Center for Computational Hydroscience and Engineering (NCCHE)

University of Mississippi

Oxford, MS • On-site, Remote

Full-time

Posted 18 days ago

University Of Mississippi rating

7.9

Company rating: 7.9 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

205th of 614 rated colleges and universities

Job description

The University of Mississippi - fondly referred to as Ole Miss - stands as a premier public research institution with a proud legacy of academic distinction. We are devoted to nurturing a vibrant, inclusive community where every member - student, faculty, and staff - can achieve their fullest potential.

Job Summary:

This position focuses on developing and maintaining computational and geospatial technologies that support agricultural watershed science, water quality assessment, dam-break flood modeling, risk evaluation, and emergency planning. The role emphasizes building decision-support systems and web-based tools, managing large environmental datasets, and enabling data-driven environmental management through advanced modeling, software engineering, and GIS/remote sensing workflows.
It also includes supporting high-performance and Linux-based research computing environments, contributing to scientific communication (journal articles, technical reports, and conference presentations), and collaborating with interdisciplinary teams and stakeholders. In addition, the role supports grant proposal development and may include leading external research efforts.

Job Description:

Essential Duties/ Responsibilities:
  • Develop computational models, software tools, and web-based decision support systems for agricultural watershed processes, water quality assessment, dam-break flood modeling, risk assessment, and emergency planning.
  • Develop and maintain scientific software, geospatial applications, databases, and computational workflows using programming languages such as FORTRAN, C++, Python, R, and related technologies.
  • Design, develop, and maintain geospatial databases, web mapping applications, decision-support systems, and cloud- or cluster-based cyberinfrastructure to support environmental modeling, visualization, and data dissemination.
  • Manage and process large environmental and hydrologic datasets using GIS, remote sensing, spatial databases, and geospatial analysis tools.
  • Support high-performance computing, Linux-based research computing environments, automation workflows, and related computational infrastructure required for environmental modeling and data-intensive research.
  • Participate in and lead external research grant proposal development.
  • Participate in and lead peer-reviewed journal publications, technical reports, and scientific conference presentations.
  • Collaborate with interdisciplinary teams of scientists, engineers, and stakeholders to develop innovative solutions for water resources and environmental management challenges.

Job Responsibilities:

Preferred Experience, Knowledge, Skills & Abilities:
  • Experience in developing computational models, decision-support systems, and web-based tools for hydrologic, hydraulic, watershed, water quality, and environmental management.
  • Experience in scientific programming (e.g., FORTRAN, C++, Python, R), software development, computer systems, and computational infrastructure for environmental and geospatial applications..
  • Experience in geospatial analysis and environmental data management using GIS, remote sensing, spatial databases, and web-based geospatial technologies.
  • Experience with database design, administration, and optimization, including PostgreSQL/PostGIS and large-scale spatial data processing.
  • Experience in developing and deploying geospatial web services, map servers, and cloud- or cluster-based computing environments for environmental modeling and visualization.
  • Experience with Linux system administration, high-performance computing (HPC), virtualization, automation, and research computing infrastructure.
  • Excellent oral, written, and presentation skills (both technical and non-technical).
  • Experience in AIMS and/or DSS-WISE modeling and decision support systems is preferred.
Education:
  • Ph.D. in Computational Hydroscience and Engineering, or a closely related discipline. The PhD degree should be already received or about to be received at the end of the current semester.

* This position is fully or partially funded by external research grants. Continued employment is contingent upon satisfactory performance and the ongoing availability of funding.


** Applicants are requested to attach a Resume/CV with their application.

Education Qualifications:

PhD (Required)

Experience:

Interview Requirement:

Interview Requirements: Any candidate who is called for an interview must notify the Department of Equal Opportunity/Regulatory Compliance in writing of any reasonable accommodation needed prior to the date of the interview.

EEO Statement:

The University of Mississippi provides equal opportunity in any employment practice, education program, or education activity to all qualified persons. The University complies with all applicable laws regarding equal opportunity and does not unlawfully discriminate against any employee or applicant for employment based upon race, color, gender, sex, pregnancy, sexual orientation, gender identity or expression, religion, national origin, ethnicity, citizenship, age, disability, military status, protected veteran status, genetic information, or any other legally protected status.

Background Check Statement:

The University of Mississippi is committed to providing a safe campus community. UM conducts background investigations for applicants being considered for employment. Background investigations include a criminal history record check, and when appropriate, a financial (credit) report or driving history check.

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