Remote Sensing Data Scientist
Exploitation and analysis of remotely sensed (airborne and space-based), geospatial data for a variety of applications. Contribute to the Geospatial Laser Applications and Measurements group research tasks and objectives associated with existing projects. Explore and develop new research technologies.
- Develop software and algorithm solutions for remote sensing applications.
- Provide guidance and technical leadership in the area of remote sensing.
- Provide support in business development through proposals and sponsor engagement.
- Publish and present research results.
- Other related functions as assigned.
Ph.D in engineering, geoscience or other applied sciences. Demonstrated experience and proficiency in working with remotely sensed data, and data products. Applicant should have proficiency in programming for development and conceptual derivation. Applicant must be willing to work with new technologies, be highly organized, and capable of planning and coordinating multiple tasks and managing their time. The applicant should have experience with software packages for research projects. The position will require attention to detail, effective problem solving skills, and innovation. Ability to work independently with sensitive and confidential information, maintain a professional demeanor, work as a team member without day-to-day supervision and effectively communicate with diverse groups of clients. Candidate should be capable of providing project leadership and management supervision. Regular and punctual attendance is required. US Citizen: Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information at the level appropriate to the project requirements of the position.
Significant experience related to remote sensing applications (geodesy, geospatial statistics, climatology, geology, ecology, and hydrology). Demonstrated experience and familiarity in working with 3-D geospatial data, data registration and big data analysis. Knowledge of 2D (imagery) and 3D geospatial data exploitation methods is also desired. Applicant should have prior experience in geospatial application solutions using novel algorithm techniques and working knowledge of processing, exploitation and dissemination workflows for airborne and space-based remote sensing. Demonstrated interpersonal communication skills, technical leadership and successful business development. History of publication in relevant peer reviewed journals and/or industry conferences. Cumulative GPA of 3.0 with a 3.5 in major coursework or higher.
An agency designated by the federal government handles the investigation as to the requirement for eligibility for access to classified information. Factors considered during this investigation include but are not limited to allegiance to the United States, foreign influence, foreign preference, criminal conduct, security violations, drug involvement, the likelihood of continuation of such conduct, etc.
$90,000-$115,000+/negotiable depending on qualifications.