Scientist/Engineer Specializing in Land Remote Sensing Algorithms

Department: UMD/ESSIC

Starting Salary: Commensurate with experience

Starting Title: Title based on qualification

Closing Date: Open until filled

Location: College Park, Maryland

About the position:

This position involves testing and deployment of Land Surface Albedo (LSA) software solutions in support of science/innovation and product sustainment in NOAA/NESDIS/STAR’s satellite land product development team for relevant products’ development, validation, and monitoring.

The job tasks focus on implementing the algorithm updates, testing the performance using a combination of scripting (Python) and C++ language in automating the testing, building, and validation specific to each product. The candidate needs to collaborate on the design and implementation of an improved version of land albedo product software to facilitate easy maintenance and robustness. The candidate will collaborate with framework developers to adapt software for operational platforms. This will involve working directly with developers to analyze application architecture (e.g., software dependencies) and using that information to develop the software configuration.


·      Degree (Master’s or Higher in Science/ Engineering) OR Combination of education and experience (Bachelor of Science/Engineering plus appropriate experience).

·      Strong knowledge of software design, development, and debugging principles

·      Strong knowledge of Python/C++ language coding

·      Basic knowledge of and experience with Linux-based computer systems, Git collaboration

·      Good communication skills

·      Experience with remote sensing algorithms and dataset be plus.

·      Interest in learning about remote sensing theory and products

·      Assist in preparing proposals.

To Apply: Interested candidates should send a CV with a list of at least 3 professional references and a cover letter explaining how your qualifications meet the posted requirements to