Postdoc - Agricultural Economics, Occupational Health And Machine Learning

POSITION OVERVIEW

Salary range: The posted UC salary scales set the minimum pay determined by rank and/or step at appointment. See Table 23: Postdoctoral Scholar-Employee, Postdoctoral Scholar-Fellow, Postdoctoral Scholar-Paid Direct, Fiscal Year. The salary range for this position is $64,480-$77,327. “Off-scale salaries”, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions, qualifications, and experience

POSITION DESCRIPTION

Postdoctoral Research Associate Position in Agricultural Economics, Occupational Health, and Machine Learning at the University of California Davis, Department of Agricultural and Resource Economics and the Western Center for Agricultural Health and Safety (WCAHS) at the University of California, Davis
The ideal candidate for the postdoc will combine a strong understanding of agricultural production and the tasks typically performed, potentially through their expertise in Agricultural Economics, and an understanding of frontier methods in Natural Language Modeling, Large Language Models, and Big Data Management and Analytics. The candidate will be responsible for compiling and harmonizing data on occupational injuries in agriculture from multiple sources. They will develop and apply Machine Learning algorithms to extract attributes of the worker, employer, and primary product (type of crop or animal), classify the task being performed at the time of the injury and, where possible, attribute the cause of the injury. They will compute incidence rates for multiple categories of occupational injuries across the features identified through the Machine Learning exercise. They will maintain and publish these incidence rates as a regularly updated data series, summary dashboard, and bi-annual report on occupational injuries in agriculture in the Western states. The candidate will prepare at least one peer-reviewed publication per year and will also have opportunities to explore independent lines of research inquiry. The candidate will be based in the Department of Agricultural and Resource Economics at UC Davis.
Minimum qualifications:
PhD in Agricultural Economics, economics, statistics, or computer science.
Preferred qualifications:
Prior experience with Machine Learning algorithms with an emphasis on Natural Language Modeling and Large Language Models; expertise in economics, with a familiarity with agricultural labor or agricultural production systems preferred; strong communication and organizational skills; and exceptional data management skills and interest in transparent and reproducible science.
Department:

QUALIFICATIONS

Basic qualifications (required at time of application)
PhD in Agricultural Economics, economics, statistics, or computer science
Preferred qualifications (other preferred, but not required, qualifications for the position)
Prior experience with Machine Learning algorithms with an emphasis on Natural Language Modeling and Large Language Models
Expertise in economics, with a familiarity with agricultural labor or agricultural production systems preferred
Strong communication and organizational skills; and 4) exceptional data management skills and interest in transparent and reproducible science.

APPLICATION REQUIREMENTS

Document requirements
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Curriculum Vitae - Your most recently updated C.V.
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Cover Letter
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Statement of Research (Optional)
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Statement of Teaching (Optional)
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Statement of Contributions to Diversity, Equity, and Inclusion - Contributions to diversity, equity, and inclusion documented in the application file will be used to evaluate applicants. Visit

REFERENCE REQUIREMENTS

• 2-4 required (contact information only)
  Apply link:
  Help contact: mgoetze@ucdavis.edu

Please refer the Job description for details