Job ID360423 LocationTwin Cities Job FamilyResearch-Researchers Full/Part TimePart-Time Regular/TemporaryRegular Job Code8352R3 Employee ClassCivil Service About the Job This is a temporary, part-time hourly position. Position Overview: This position will provide technical support for the Zhenong Jin Research Lab in the Dept. of Bioproducts & Biosystems Engineering at the University of Minnesota the University of Minnesota. The research of the Jin lab integrates ecology, computational modeling, remote sensing, and machine learning approaches to generate useful data that guides sustainable agricultural management, and to develop tools that can help farmers and regulators apply this science more effectively. Major Areas of Accountability : 80% The researcher will primarily focus on labeling land cover types (e.g., water body, residential area, cashew plantations, natural forest, cropland, shrubland) from high-resolution Google Earth maps collected in West Africa. The researcher is expected to accurately distinguish and label the land cover type from randomly selected locations in Google Earth, with a minimal speed of 80 random points per minute. The project may consist of a total of 20,000 random points. The researcher may be required to update labels iteratively based on the feedback from the subsequence imagery classification analysis performed by other lab members. 20% The Researcher will be expected to write technique reports to explain and document details on data collection and synthesis, and collaborate on research reports, peer-reviewed manuscripts for publication when needed. Qualifications Required Qualifications: * Bachelor's degree in computer science, environmental science, geography, or related field, and 2 years of related experience or a combination of education and work experience to equal six (6) years. * Working experience in GIS, QGIS or similar geospatial tools. * Experience with satellite image interpretations. * Strong oral communication and writing skills Preferred Qualifications: * Experience with python machine learning libraries such as Pytorch * Experience with deep learning algorithms for computer vision * Experience working in a university research lab setting * Demonstrated ability to work independently and collaboratively to meet deadlines How To Apply Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will be given the opportunity to complete an online application for the position and attach a cover letter and resume. Additional documents may be attached after application by accessing your "My Job Applications" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: Employment Requirements Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment. About the U of M The University of Minnesota, Twin Cities (UMTC) The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, gradua e, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations. At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America's Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022). The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu.