Ohio State University
6 days ago
Postdoctoral Scholar in Precision Agriculture, Machine Learning, and Remote Sensing The Ohio State University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Two-year appointment initially, with possible extension based on satisfactory performance, continued funding, and programmatic needs. Salary is commensurate with qualifications and experience. Benefits are included in accordance with The Ohio State University policies, including health-care benefits.
Country
United States
University
Ohio State University

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About this position
The AgSensing Lab in the Department of Food, Agricultural and Biological Engineering at The Ohio State University is recruiting a Postdoctoral Research Associate focused on precision agriculture, machine learning, remote sensing, and sensor systems.
The position centers on developing and applying advanced data analytics to quantify crop phenotypic and agronomic traits in crops such as corn and soybean. The successful candidate will work with multi-source spatial and temporal datasets, including UAS imagery, satellite imagery, ground-based sensors, and other geospatial data. Research also includes the design, testing, and deployment of custom ground-based sensing platforms for real-time or near-real-time agricultural decision-making.
Responsibilities include agricultural data analytics, machine learning model development, remote sensing analysis, field experiments, data collection, project implementation, scientific publications, presentations, proposal development, mentoring students, and interdisciplinary collaboration with agricultural engineering, mechanical engineering, agronomy, computer science, and soil science researchers.
Required qualifications include a Ph.D. in Agricultural Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a closely related field; substantial relevant research experience; experience with spatial/temporal/remotely sensed datasets; programming in Python or R; and strong scientific communication skills. Preferred experience includes GIS, crop phenotyping, precision agriculture, sensor integration, field research, and grant writing.
This is an initial two-year appointment with possible extension depending on performance, funding, and program needs. Salary is commensurate with experience, and benefits include health-care coverage. Applicants should submit a cover letter and current CV via the Workday application portal.
Funding details
Two-year appointment initially, with possible extension based on satisfactory performance, continued funding, and programmatic needs. Salary is commensurate with qualifications and experience. Benefits are included in accordance with The Ohio State University policies, including health-care benefits.
What's required
Ph.D. in Agricultural Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or a closely related discipline. At least 5 years of relevant research experience in agricultural data analytics, remote sensing, machine learning, spatial data analysis, sensor systems, or related areas; Ph.D. research experience may count toward this requirement. Experience with spatial, temporal, or remotely sensed datasets, demonstrated machine learning experience, proficiency in Python, R, or comparable tools, scientific writing and peer-reviewed publication experience, strong analytical/organizational/problem-solving/project-management skills, and ability to work independently and collaboratively are required. Preferred experience includes UAS imagery, satellite remote sensing, GIS, agricultural production systems in the United States, crop phenotyping, precision agriculture, sensor integration, real-time/edge processing, field experiments, ground-truth data collection, mentoring, and grant proposal development.
How to apply
Submit a cover letter describing relevant research experience, technical skills, background, and research interests, along with a detailed current CV through the Ohio State Workday application portal. Use the provided job link to apply.
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