Postdoc: Learning-Based Control for Smart Greenhouses

Clemson University; Clemson (SC); On-site; USD 52,000 - 68,000; Full time

Job summary

Clemson University is seeking a Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture to advance research in greenhouse automation. The role focuses on developing learning-based control methods to optimize lighting and CO2 conditions, with emphasis on AI and machine learning applications in agriculture.

Successful candidates will have a Ph.D. in a related engineering field and experience in automation, controls, and plant sciences.

Qualifications

• Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or related field.
• Experience with automation, controls, and AI applications in controlled environment agriculture.
• Strong knowledge of plant sciences and computational sciences (controls and machine learning).
• Hands-on greenhouse or plant factory experience preferred.

Responsibilities

• Conduct research and write technical papers.
• Assist in proposal development.
• Develop learning-based algorithms to control greenhouse environments.
• Other duties as assigned.

Skills

Automation

Control theory

Machine learning

AI applications

Greenhouse environments

Education

Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or related field

Job description

Clemson University is seeking a Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture to advance research in greenhouse automation. The role focuses on developing learning-based control methods to optimize lighting and CO2 conditions, with emphasis on AI and machine learning applications in agriculture.

Successful candidates will have a Ph.D. in a related engineering field and experience in automation, controls, and plant sciences.