Research Associate (Remote Sensing Data Scientist)

University of Texas-Austin

Austin, TX, US


Contribute to the Geospatial Laser Applications and Measurements group research tasks and objectives associated with existing projects. Exploitation and analysis of remotely sensed (airborne and space-based), geospatial data for a variety of applications. Explore and develop new research technologies.

Essential Functions

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.

Marginal/Incidental functions

Other related functions as assigned and occasional travel to support meetings.

Required qualifications

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, maintain effective time management, be highly organized, and capable of planning and coordinating multiple tasks. The applicant should have experience with relevant software packages for research and analysis. 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 daily supervision and effectively communicate with diverse groups of clients. Regular and punctual attendance is required. The applicant must be a U.S. Citizen and will be subject to a government security investigation in order to determine eligibility for access to classified information at the level appropriate to the project requirements of the position.

Preferred Qualifications

Significant experience related to remote sensing applications (orbital mechanics, geodesy, geospatial statistics, climatology, meteorology, 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 and technical leadership. 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.

Working conditions

May work around standard office conditions Repetitive use of a keyboard at a workstation Some weekend, evening and holiday work. Frequent use of manuals and books. May in shared, windowless office space. Possible intrastate/interstate travel.