[AgMIP] Crop modeling post doc for soybean stress physiology

[agmip at lists.agmip.org]

The University of Missouri has an opening for a crop modeler to support work on soybean adaptation to water limited conditions. The full announcement is below. For further information please contact Prof F Fritschi, fritschif at missouri.edu<mailto:fritschif at missouri.edu>

Jeffrey W. White, PhD
Research Plant Physiologist
USDA-ARS, ALARC
520-316-6368




POSTDOCTORAL RESEARCH ASSOCIATE - CROP MODELLING

Division of Plant Sciences, University of Missouri

Project: A postdoctoral research associate position is available in the Fritschi Lab (https://plantsciences.missouri.edu/cropphysiology/) to 1) investigate physiological mechanisms associated with soybean adaptation to water limited conditions, 2) collaborate in genome-wide association analyses and QTL mapping, and 3) participate in the establishment of high-resolution / high-throughput phenotyping approaches.

Location: University of Missouri, Columbia, MO

Responsibilities: The successful applicant will join an interdisciplinary team of researchers participating in the Missouri Transect: Climate, Plants, and Community project (https://missouriepscor.org/). The incumbent will lead efforts to model crop growth and yield with respect to downscaled climate model solutions (NARCCAP output) for Missouri. The project will involve parameterization and testing of crop growth models and evaluation of the effects of predicted environmental conditions on crop growth and performance. This research is expected to provide information that will aid with the development of management strategies and the identification crop characteristics that may be employed to enhance crop yields under environmental conditions predicted for US Midwest. The incumbent will conduct research, manage and analyze data, and publish findings in refereed journals.

Qualifications: A recent PhD in crop physiology, agronomy, plant breeding or a related field. Strong background in crop physiology and proven experience with crop modelling are required. Experience with model parameterization and scenario analyses are expected. Excellent, demonstrated written and oral communication skills are essential. The successful candidate must have good organizational skills, is highly self-motivated, dedicated, and capable of both independent research as well as work with a diverse, multi-disciplinary team.

Appointment and start date: The position offers a competitive salary and benefits. The appointment is on an annual basis with a start date that is flexible but early summer 2018 is preferred.
Application: Submit a single PDF file that includes 1) a cover letter that provides information about research accomplishments, research interests, and career plans; 2) a current CV; and 3) contact information for three references to Felix Fritschi at fritschif at missouri.edu<mailto:fritschif at missouri.edu>.





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