The initial duration of this appointment is for a two year term with the potential for extension based on performance and availability of funding. This position is eligible to work remotely.
This role would be a member of the Center for Geospatial Information Science (CGIS) and the Spatial Multiscale Analytical Science Hub (SMASH), in addition to the Department of Geographical Sciences. As such, the geospatial developer would be encouraged to interact with these broader communities and potential collaborate on additional projects.
BS in Geospatial Data Science, Geographic Information Science, Computer Science or close equivalent.
- Experience developing and optimizing algorithms.
Knowledge, Skills, and Abilities:
- Demonstrated ability to independently craft and document scientific code;
- Ability to write documentation for non-technical audiences;
- Comfortable working with the python geospatial stack, including GDAL, shapely, Rasterio, Geopandas, PySAL, rasterstats, etc.;
- Familiarity with geospatial data structures and algorithms and OGC standard protocols (EX. COGs, STACs);
- Familiarity with current remote sensing platforms (Landsat, Sentinel, Planet) and data delivery systems (EarthExplorer, Google Earth Engine, SentinelHub, S3);
- Basic proficiency using desktop software (e.g.. QGIS) or web GIS software;
- Excellent English oral, written, and interpersonal communication skills.
- Experience constructing end-to-end user-facing data delivery systems (EX. REST APIs, web-based mapping, programmatic APIs);
- Experience with onloading data to IPFS, Filecoin, and other decentralized – “Web 3” – systems;
- Experience conducting or contributing to GIS and Remote Sensing research projects;
- Experience with remote sensing for publicly funded agencies (EX. NGA, NASA, USGS, IARPA, FEMA).
Preferred Knowledge, Skills, and Abilities:
- Exposure and willingness to learn Go, Solidity, Rust, etc., as required to complete job requirements;
- Ability to incorporate diverse development tools and environments, such as Docker, Docker Compose, reverse proxies (Nginx, Traefix, etc), Git, Github, NPM, Poetry, AWS (S3, DynamoDB, EC2, Snowball, Lambda), Jupyter Notebooks, Linux;
- Knowledge of Web 3 systems and P2P networking;
- Interest in EVM Blockchains and exploring blockchain-related technical research;
- Previous contributions to advancing data equity and access;
- History of open source software development, including successfully distributing and packaging scientific and non-scientific software systems.
- Applications should include a brief (1 page) cover letter, a resume or CV, and the names and contact details (including phone and e-mail) of 3 references.
- For best consideration, apply here by November 30th, but the search will continue until the position is filled.
- For questions about the position, please contact Dr. Taylor Oshan at firstname.lastname@example.org. Further information on this position and on academic and research programs of the Department can be found at http://www.geog.umd.edu. Applications from women and minorities are particularly sought.
The University of Maryland, College Park, an equal opportunity/affirmative action employer, complies with all applicable federal and state laws and regulations regarding nondiscrimination and affirmative action; all qualified applicants will receive consideration for employment. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, religion, sex, national origin, physical or mental disability, protected veteran status, age, gender identity or expression, sexual orientation, creed, marital status, political affiliation, personal appearance, or on the basis of rights secured by the First Amendment, in all aspects of employment, educational programs and activities, and admissions.