Cornell University, School of Integrative Plant Science – Section of Plant Breeding and Genetics
finished (2022/08/31, finished 2022/10/18, listed until 2022/10/31)
*** this position has been closed and new applications are no longer accepted. ***
Position Description
School of Integrative Plant Science
Predictive Analytics in
Crop Breeding and Management
The College of Agriculture and Life Sciences at Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply.
The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and home to Cornell University’s second largest population of students, faculty, and staff. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach. The questions we probe and the answers we seek focus on three overlapping concerns: natural and human systems; food, energy, and environmental resources; and social, physical, and economic well-being. CALS is fundamentally invested in improving the lives of people, their environments, and their communities both in New York state and around the world.
Position Function
The School of
Integrative Plant Science at Cornell University is seeking a highly motivated
postdoctoral associate to conduct interdisciplinary studies combining plant phenomics and genomics. The position is in the
Sections of Plant Breeding and Genetics (Mike Gore Lab) and Soil and Crop
Science (Ying Sun Lab) and includes
collaborations with quantitative geneticists (Kelly Robbins and Joe Gage Labs)
and computer scientists (Abe Davis and Noah Snavely Labs). The successful
applicant is expected to integrate physiological and environmental processes
with genetic data to understand and forecast plant performance at different
spatial and temporal scales. A special focus
of this position is on the development and application of crop growth models
from remote sensing data (e.g., Chlorophyll Fluorescence, Lidar, Hyperspectral) to enable genetic dissection and prediction of phenotypes
related to plant productivity and adaptation to environmental changes. Other
responsibilities of this position include trips to collaborator field sites and presenting original scientific results at meetings and
in publications.
- Ph.D. with research experience in an ecology-, agriculture-, climate-, remote sensing-, or computation-related field.
- Proficiency in collecting and analyzing remote sensing datasets
- Extensive skills in big-data analysis, data mining, and statistics.
- Programing experience in C, Matlab, R, or Python.
- Experience with plant physiology and phenotyping technologies.
- Independence and project leadership skills.
- Demonstrated contribution to Diversity, Equity, and Inclusion initiatives.
- Excellent interpersonal and communication skills with a strong publication record.
- More than 3 years of experience in remote sensing, crop simulation models, or genetic analysis of genotype-by-environment interactions
- Proficiency in developing and implementing complex computational pipelines on Linux operating systems and high-performance computing clusters.
- A record of publication in the field of remote sensing and physiological modeling.
- Experience in the use of APSIM/DSSAT models.
Supervision
Exercised
The position will include some
supervision of undergraduate and graduate students involved in research on the
project.
Anticipated
Division of Time
Analyzing Data 60%
Writing 25%
Mentoring 10%
Field Research 5%
For specific questions about the position or application process, please contact the Recruiter listed in the job posting or for general questions email mycareer@cornell.edu.
If you require an accommodation for a disability in order to complete an employment application or to participate in the recruiting process, you are encouraged to contact Cornell University's Office of Institutional Equity and Title IX at voice (607) 255-2242, or email at equity@cornell.edu.
Applicants that do not have internet access are encouraged to visit your local library, or local Department of Labor.
Please read the required Notice to Applicants statement by clicking here. This notice contains important information about applying for a position at Cornell as well as some of your rights and responsibilities as an applicant.
EEO Statement:
Cornell University's history of diversity and inclusion encourages all students, faculty and staff to support a diverse and inclusive university in which to work, study, teach, research and serve. No person shall be denied employment on the basis of any legally protected status or subjected to prohibited discrimination involving, but not limited to, such factors as race, ethnic or national origin, citizenship and immigration status, color, sex, pregnancy or pregnancy-related conditions, age, creed, religion, actual or perceived disability (including persons associated with such a person), arrest and/or conviction record, military or veteran status, sexual orientation, gender expression and/or identity, an individual’s genetic information, domestic violence victim status, familial status, marital status, or any other characteristic protected by applicable federal, state, or local law.
Cornell University embraces diversity and seeks candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds. We strongly encourage individuals from underrepresented and/or marginalized identities to apply. Qualified protected veterans as defined in the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRRA) and qualified disabled individuals with disabilities under Section 503 of the Rehabilitation Act have rights in the application process and in employment under federal law. We also recognize a lawful preference in employment practices for Native Americans living on or near Indian reservations in accordance with applicable law.
Pay Ranges:
The hiring rate of pay for the successful candidate will be determined considering the following criteria:
- Prior relevant work or industry experience.
- Education level to the extent education is relevant to the position.
- Academic Discipline (faculty pay ranges reflects 9-month annual salary)
- Unique applicable skills.
Application Materials Required:
- Cover letter
- Curriculum Vitae
- Research statement
- Statement of diversity, equity, and inclusion
- Three references (no actual letters, just names and email addresses )
Further Info:
College of Agriculture and Life Sciences
Cornell University
Ithaca, NY 14853