Post Doctorial Scholar

Screen reader users may encounter difficulty with this site. For assistance with applying, please contact . If you have questions while submitting an application, please review these frequently asked questions.

Current Employees and Students:

If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use the internal application process.

Welcome to The Ohio State University's career site. We invite you to apply to positions of interest. In order to ensure your application is complete, you must complete the following:

Ensure you have all necessary documents available when starting the application process. You can review the additional job description section on postings for documents that may be required.

Prior to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application.

Job Title:

Post Doctorial Scholar

Department:

FAES Food, Agricultural and Biological Engineering

The Ag Sensing Lab in the Department of Food, Agricultural and Biological Engineering at the Ohio State University is recruiting a Postdoctoral Research Associate (postdoc) to work at the forefront of precision agriculture and contribute to the development of cutting-edge tools and methodologies that advance crop science and sustainable agriculture practices.

The successful candidate will play a key role in designing and implementing innovative solutions at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate will contribute to projects focused on developing advanced machine learning models to quantify phenotypic traits of crops, including corn, soybean, and other selected species. These models will leverage data collected from various sources, such as unmanned aerial systems (UAS or drones), satellite imagery, and other spatial-temporal datasets. In addition to machine learning development, the candidate will be actively involved in the design and development of a custom ground-based platform for efficient and accurate collection of sensor data. This platform will support the integration of machine learning models for real-time decision-making, enabling scalable and actionable insights in agricultural applications.

The successful candidate is expected to publish research findings in international peer-reviewed journals, present research findings in conferences/meetings, generate regular project update reports, assist in grant proposal writing, supervise graduate and undergraduate students, and assist with other research activities, as needed. The candidate should have strong analytical, mechanical, organizational, and planning skills, and is expected to work independently as well as in a team. The candidate will have an opportunity to work closely with an interdisciplinary team of researchers from various disciplines, such as agricultural engineering, mechanical engineering, agronomy, computer science, and soil science.

The ideal candidates should have:

• Ph.D. degree in agricultural engineering, electrical engineering, mechanical engineering, or computer science; or other related disciplines

• Understanding of agricultural production systems in the U.S

• Experience working with spatial data and machine learning models.

• Strong knowledge of programming languages, such as Python, R .

• Demonstrated skills in scientific writing, publications, and communication

The position is initially for two years and can be extended, pending satisfactory performance. The salary is commensurate with the candidate’s experience

Additional Information:

This position is located in the Columbus, Ohio.

Location:

Agricultural Engineering Building (0298)

Position Type:

Term (Fixed Term)

Scheduled Hours:

40

Shift:First Shift

Final candidates are subject to successful completion of a background check. A drug screen or physical may be required during the post offer process.

Thank you for your interest in positions at The Ohio State University and Wexner Medical Center. Once you have applied, the most updated information on the status of your application can be found by visiting the Candidate Home section of this site. Please view your submitted applications by logging in and reviewing your status. For answers to additional questions please review the frequently asked questions.

The university is an equal opportunity employer, including veterans and disability.

As required by Ohio Revised Code section 3345.0216, Ohio State will: educate students by means of free, open and rigorous intellectual inquiry to seek the truth; equip students with the opportunity to develop intellectual skills to reach their own, informed conclusions; not require, favor, disfavor or prohibit speech or lawful assembly; create a community dedicated to an ethic of civil and free inquiry, which respects the autonomy of each member, supports individual capacities for growth and tolerates differences in opinion; treat all faculty, staff and students as individuals, hold them to equal standards and provide equality of opportunity with regard to race, ethnicity, religion, sex, sexual orientation, gender identity or gender expression.

R137642