Satellite-Derived Bathymetry Scientist

Title:

Satellite-Derived Bathymetry Scientist

BELONG. CONNECT. GROW. with KBR.

Around here, we define the future. We are a company of innovators, thinkers, creators, explorers, volunteers, and dreamers.  But we all share one goal:  to improve the world responsibly and safely by supporting the science that informs decision makers and protects Earth.

KBR’s Science and Space division is seeking a Scientist to support Satellite-Derived Bathymetry (SDB) for our Technical Support Services Contract (TSSC) at the United States Geological Survey (USGS) Earth Resources Observation & Science (EROS) Center (http://eros.usgs.gov/) near Sioux Falls, SD (http://www.siouxfalls.org). 

The successful candidate will become an integral part of TSSC support for the USGS EROS Center Integrated Science and Applications Branch (ISAB). The TSSC Team is comprised of highly talented remote sensing scientists, land cover scientists, geospatial specialists, web developers, software engineers, and systems engineers who work together to support the dynamic science and technical requirements of our USGS Customer.

TSSC is expanding its topographic science team to assist mapping bottom-type structure along highly dynamic coastal and riverine environments The SDB Scientist will assist USGS researchers in characterizing, verifying, optimizing, and enhancing algorithms that estimate near-shore bathymetry using multiple optical sensors, satellite lidar, and traditional reference data.

For a Scientist working in this area, an aquatic remote sensing background combined with data fusion experience, scripting techniques, data mining proficiency, geospatial analysis, and geospatial interpretation expertise will inform and enhance USGS advances in coastal and riverine bottom-type characterization mapping, SDB algorithms, and products that potentially utilize both commercial and government satellite imagery.

If you have a related skillset and background and are interested in an exciting and challenging career in the field of topographic remote sensing science, you are invited to apply for this position.

RESPONSIBILITIES:

• Conduct imagery discovery, selection, and download; compile validation datasets such as LiDAR and bathymetry; apply cloud‑masking procedures; and generate custom validation grids for analysis.
• Investigate bottom‑type and seafloor structure mapping using Landsat, Sentinel‑2, and NASA imagery sources, integrating ICESat‑2 ATL24 bathymetry with AI/ML techniques and data‑modeling methods to support a USGS physics‑based SDB algorithm.
• Evaluate the applicability of the Landsat Aquatic Reflectance (AR) product for improving or enabling USGS SDB algorithms and computational workflows.
• Explore and learn the NOAA SatBathy Tool and produce on‑demand satellite‑derived bathymetry (SDB) outputs in response to project needs.

REQUIRED EDUCATION/EXPERIENCE:

Candidates must meet the requirements listed below to be considered for this position; please note required items on your resume.

• This position requires the ability to obtain and maintain a national agency check and background investigation after hire to obtain credentials for facility access and user accounts
• Must have a 3-year residency in the United States

• Education: Minimum of MS in Earth Science, Natural Science, Physical Science, or related with emphasis in geography, remote sensing, GIS, software engineering, information technology

• Years of Experience: At least 5 years of directly related professional experience (willing to consider differing combinations of education/experience)
• Mastery of basic remote sensing derivatives and applications
• Fluency in aquatic science principles
• Fundamental knowledge of elevation data and mapping applications
• Experience applying AI/ML to feature identification
• Literacy in Python programming
• Competency with image processing software, such as but not limited to ENVI/IDL, ERDAS Imagine, ArcPro, QGIS
• Excellent problem-solving skills used to comprehensively analyze unknowns
• Strong attention to data quality assurance, organization, detail, and record keeping
• Ability to communicate regularly, professionally, and clearly at general, technical, and management levels to inform team members, other EROS personnel and the remote sensing science community
• Superior written and oral communication skills, including effective questioning, listening, and presentation skills
• Demonstrated initiative, self-motivation, dependability, and interpersonal skills

PREFERRED EDUCATION/EXPERIENCE:

• Familiarity with Landsat, Sentinel-2, DigitalGlobe, WorldView, and Planet datasets
• Experience generating topobathymetric digital elevation models (TBDEM)
• Proficiency with satellite-derived bathymetry

WORK LOCATION

This position supports a team anchored in Sioux Falls, SD and is offered in either a hybrid remote/onsite or a fully remote work environment. 

*** Three years of continuous U.S. residency required ***

Equivalent education and/or experience will be considered.

KBR Benefits​

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule.  We support career advancement through professional training and development.​

Click here to learn more:  KBR Benefits

KBR partners with several other companies to fulfill its requirements as a government contractor. The selected subcontracting companies align their benefits as closely as possible to those above.

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Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture.  These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company.  That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. 

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.