Postdoctoral Fellow - Davis College of Agriculture, Natural Resources and Design
About The Position
The incumbent serves as a resource to contribute machine learning and artificial intelligence capacity to a variety of ongoing research activities of the Alliance for Regenerative Livestock. The Alliance uses a variety of experimental approaches to collect autonomous, remotely sensed data about livestock production to develop predictive algorithms to assess plant and animal growth and performance. The goal is to both innovate technology and approaches to allow measurement of animals grazing grasslands at scale and to incorporate greenhouse gas production and co-location of renewable energy associated with those grazing activities. We have a goal to begin to use the approaches developed to test the role of livestock in mitigating carbonization of the atmosphere, addressing the ecological footprints (water, carbon, environmental, etc.) of livestock systems to upcycle nutrients from grasslands, the production of climate-tolerant forage cultivars, development of more regenerative livestock production systems and more. Responsibilities are functional in nature, and performed under limited supervision. Specific tasks include, but are not limited to:
Requirements
- Successful completion of a Ph.D. Program from an accredited university.
- Experience with machine learning/artificial intelligence/big data analytics is required.
Nice To Haves
- Experience with life cycle analysis is desirable but not required.
Responsibilities
- Plan and conduct analyses of large datasets in support of various research questions.
- Create and maintain existing project databases for data analysis.
- Attend weekly, monthly, quarterly and yearly meetings as needed with project partners.
- Attend research conferences and read scientific literature to keep abreast of technological advances and current research findings.
- Identify and assist with acquisition of funding from public, private, and governmental sources. Write research proposals, papers, and abstracts.
- Conduct literature reviews as needed to meet research goals.
- Perform laboratory and field experiment activities according to protocol.
- Write and present research/study status reports for review and use of the Principal Investigator.
- Prepare results of experimental findings for presentation to colleagues and sponsors; at professional/technical conferences; and/or, for publication in scientific journals, as directed.
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What This Job Offers
Job Type
Full-time
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
