A postdoctoral associate is sought to lead the development and applications of an agent-based model on metacouplings (socioeconomic-environmental interactions within as well as between adjacent and distant coupled human-natural systems, http://csis.msu.edu/sites/csis.msu.edu/files/ES-2017-9830.pdf), funded by the National Science Foundation (http://csis.msu.edu/research/projects/uncovering-metacoupled-socio-environmental-systems). The project will focus on the trade of agricultural products among Brazil, China and USA, and its impacts on the environment, land use, and food security across local to international scales. This is an exciting new research frontier and we are looking for applicants with a strong interest in the integration of metacoupled human and natural systems.
Successful applicants will have a Ph.D. degree and backgrounds in one or more relevant disciplines, such as computer science and engineering, applied mathematics, computational ecology, landscape ecology, spatial science, geographic information systems, bioinformatics, spatial economics, environmental science and policy, and/or geography. Knowledge of and experiences in computer simulation models and programming languages as well as spatial software programs (e.g., Python, Java, and/or R; geographic information systems) are essential. Other desired skills include experiences with ArcGIS servers, high performance computing applications, cloud computing, big data tools, scientific visualization, and project management.
This position will be based in the Center for Systems Integration and Sustainability (www.csis.msu.edu) within the Department of Fisheries and Wildlife (www.fw.msu.edu) at Michigan State University (www.msu.edu), and will provide opportunities to interact with international and interdisciplinary groups of leading scholars and students. A competitive salary and benefit package will be offered commensurate with experience.
Doctorate - computer science and engineering, applied mathematics, computational ecology, landscape ecology, spatial science, geographic information systems, bioinformatics, spatial economics, environmental science and policy, and/or geography.
Knowledge of and experiences in computer simulation models and programming languages as well as spatial software programs (e.g., Python, Java, and/or R; geographic information systems) are essential.
Other desired skills include experiences with ArcGIS servers, high performance computing applications, cloud computing, big data tools, scientific visualization, and project management.
Required Application Materials
Application materials should include: (1) letter of application, (2) vision about a metacoupled agent-based model and how to achieve the vision, (3) statement of professional goals, 4) CV or resume, (5) transcripts (unofficial ones are OK initially), (6) list of 3-4 references (names and contact information), and (7) up to three publications and representative models or software programs developed by the applicant.
Review of applications will begin on Dec 2, 2019. The position is available now but start date is relatively flexible. Women and minorities are strongly encouraged to apply. Appointment is contingent upon successfully completing a full background check.
Review of Applications Begins On
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