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Postdoc in ecoinformatics, ecological modeling, remote sensing, or ecological forecasting
- University of Connecticut
- Storrs, CT, USA
- Job Category
- Post Doctoral Appointments
- Last Date to Apply
- We are hiring a postdoctoral researcher in ecological modeling and forecasting at the new Ecological Modeling Institute at the University of Connecticut in Storrs, CT. The postdocs will join Drs. Mark Urban and Cory Merow on a NASA-funded project to develop forecasting models for application to a wide range of systems and questions and which require strong coding and quantitative skills. The postdoc will participate in multiple aspects of the project, depending on expertise and interest, potentially including developing new data pipelines from NASA data, creating new forecasting models and conservation applications, developing web-based applications that forecast threats in real-time, as well as developing new projects based on the researcher’s interests. Our specific aim is to bring together biodiversity observations with NASA’s ongoing satellite observation and modeling systems to develop Biodiversity Exposure Forecasts in order to anticipate which species, assemblages, and locations will be exposed to conditions outside their known tolerance in the future. With updates to remotely sensed data and related products, we will then provide real-time monitoring of exposure in the recent past, short-term forecasts (coming 9-months), and longer-term (~100 years) projections about which species and assemblages are at risk of exposure. Additionally, we will incorporate remotely sensed data products (including land surface temperature, evapotranspiration, and various ecosystem variables) to characterize past climatic variability and account for fine-grain environmental variation. For subsets of species, we will incorporate biological processes into models by integrating environmental, physiological, demographic, and dispersal submodels. We also seek to use dispersal and climate change models to develop large-scale conservation mitigation strategies together with stakeholders in governments and conservation organizations. The taxonomic scope is flexible. The spatial scope is global, with additional case studies focused on the Northeastern US.
- The successful applicant will have completed a Ph.D. degree in ecology, biology, Earth sciences, computer science, statistics, or a related field prior to the start date. An excellent publication record, strong quantitative, organizational, and communication skills, and a demonstrated ability to work independently are required. Required skills include coding in R , strong quantitative skills (e.g., training in statistics, math, engineering, etc.), experience completing first author publications, and experience modeling ecological systems. Desirable skills include working with remote sensing data, experience with Bayesian or Artifical Intelligence models, working with computational pipelines or package development, web development, and experience integrating global scale data sets. Fully remote applicants will not be considered however partially remote applicants may be considered. To apply, send Mark Urban (email@example.com) via email 1) a cover letter that explains your fit for the research position, novel insights or skills you would add, and your potential start date; 2) a complete CV with publications and grants; and 3) the names of two references. Review of applications will begin April 17 and continue until the position is filled. The position is for 1 year with the option for additional years conditional on exemplary performance. Salary and benefits are competitive and commensurate with experience. For additional information, contact Mark Urban (firstname.lastname@example.org) or Cory Merow (email@example.com).
- Contact Person
- mark.urban@ uconn.edu
- Contact eMail
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