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Apply for Job Job ID364442 LocationTwin Cities Job FamilyAcademic Full/Part TimeFull-Time Regular/TemporaryRegular Job Code9546 Employee ClassAcad Prof and Admin Add to Favorite Jobs Email this Job About the Job We invite applications for a Postdoctoral Research Associate position to work on an innovative project aimed at detecting and mapping tree diseases using advanced remote sensing techniques. This is a full-time, one-year position, with the possibility of extension based on performance. The successful candidate will take a leading role in leveraging satellite-based Land Surface Phenology (LSP) metrics to develop predictive models for detecting fungal tree disease across Minnesota. The project involves several key steps to be carried out by the successful candidate with active support from the PIs: - Identifying and Characterizing Phenological Patterns: involves analyzing time series of LSP metrics to distinguish between healthy and symptomatic trees. - Testing Discriminative Power of LSP Metrics: includes assessing the ability of various spectral indices to differentiate symptomatic trees from healthy ones. - Building Predictive Models: you will develop models to predict and map the distribution of symptomatic trees using LSP data. - Transferability and Model Development: involves testing the applicability of detection models to new areas. Key Responsibilities Percentage Breakdown: - 70% Conduct time series analysis of LSP based on Sentinel-2 imagery. Develop and test predictive models of disease detection; - 25% Contribute to manuscript preparation and reports; - 5% Other duties including preparing and delivering presentations; conducting outreach with the public; Qualifications Qualifications: Competitive candidates should be highly motivated, possess a PhD, and have a strong quantitative background. - A Ph.D. in ecology, remote sensing, geography, environmental science, or a related field. - Experience with remote sensing data analysis, particularly time series analysis. - Proficiency in any GIS software; - Proficiency in R, Python, and/or other relevant programming languages. - Ability to work independently and as part of a multidisciplinary research team. - Excellent written and verbal communication skills. Preferred Qualifications: - Experience with forest disease detection and mapping. - Strong analytical skills and a background in ecological modeling. Pay and Benefits Pay Range: $56,484.00 to $60,000.00; depending on education/qualifications/experience Please visit the Benefits for Postdoctoral Candidates website for more information regarding benefit eligibility. Competitive wages, paid holidays, and generous time off Continuous learning opportunities through professional training Medical, dental, and pharmacy plans Healthcare and dependent care flexible spending accounts University HSA contributions Disability and life insurance Employee wellbeing program Financial counseling services Employee Assistance Program with eight sessions of counseling at no cost How To Apply Application Process: Interested applicants should submit a cover letter, CV, and contact information for two or three references. Review of applications will begin immediately and continue until the position is filled. Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity 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, graduate, nd 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.