Postdoctoral Associate

Position Summary

The Department of Geography, University at Buffalo is seeking a postdoctoral scholar to join an interdisciplinary research team investigating genotypic variation in growth and yield of crops grown under biophysical stress. The project is funded by NSF through the Plant Genome Research Project to SUNY at Buffalo (UB), University of Wyoming, UC Davis, and Dartmouth. The selected scholar will be based at UB. The research will focus on the integration of plant genotypic (e.g., RNAseq), metabolomic, and phenotypic data (e.g. chlorophyll fluorescence) into biophysical process-based models for the purpose of connecting the phenome to the genome. A variety of modeling approaches will be used to reveal the connections between both measured and modeled phenotypic traits to genetic mechanisms. Candidates must be comfortable with quantitative data analysis, have experience in plant physiology or genomics, and either have experience with or a willingness to learn process-based modeling. The position will require close collaboration with a research team of plant physiologists, genomicists, and modelers. Opportunities for teaching, greenhouse work, and travel to work at collaborative labs are available if desired.

The job duties and responsibilities of this position will be:
• Improve existing biophysical process-based models of whole-plant hydraulics, physiology, and growth informed by transcriptomic, metabolomic, and phenotypic data
• Assist with the design and implementation of data collection and data synthesis protocols, work collaboratively with other members of the team, and be expected to publish papers

Position will remain open until filled, but candidates should submit their applications by March 19, 2020 for full consideration.

The position is affiliated with the Geography Department and Center for Computing Research at UB, a large R1 university. UB has cutting edge computational resources including an 8,000 CPU, 170 Tflop computer cluster and high-end visualization laboratory. Buffalo (population 250k) is on the shores of Lake Erie about 30 minutes from Niagara Falls and two hours from Toronto.

The University at Buffalo is an affirmative action, equal opportunity employer (AA/EO).

Outstanding Benefits Package
Working at UB comes with benefits that exceed salary alone. There are personal rewards including comprehensive health and retirement plan options. We also focus on creating and sustaining a healthy mix of work, personal and academic pursuit – all in an effort to support your work-life effectiveness. Visit our benefits website to learn about our benefit packages .

About UB
The University at Buffalo is SUNY’s most comprehensive public research university, and an outstanding place to work. UB amplifies ambition for faculty and staff by offering endless possibilities to achieve more. Here, people from all backgrounds and cultures challenge and inspire each other to discover, learn and succeed. Dedicated staff and engaged faculty collaborate to further knowledge and understanding, and develop tenacious graduates who are valued for their talents and their impact on global society. Visit our website to learn more about the University at Buffalo .

As an Equal Opportunity / Affirmative Action employer, the Research Foundation will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, sexual orientation, gender identity, national origin and veteran or disability status.

Minimum Qualifications

Required knowledge skills and abilities:
• Ph.D. in plant sciences, ecology, statistics, computational sciences, geography, or a related field, conferred within 5 years of date of appointment
• Experience in the assessment of plant traits relevant to crop yield
• Knowledge of programming (e.g., C, C++, R), and expertise in quantitative data analysis
• Ability to work independently and in an interdisciplinary research team
• Excellent interpersonal and communication skills with an established publication record

Preferred Qualifications

Proven ability to work independently and in an interdisciplinary research team; Excellent interpersonal and communication skills with an established publication record.

For more information, click the "How to Apply" button.

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