Postdoc: Learning-Based Control for Smart Greenhouses

Clemson University MBA Programs; Clemson (SC); On-site; CAD 98,577 - 126,742; Full time

Job summary

Clemson University: College of Engineering, Computing and Applied Sciences: Mechanical Engineering invites applications for a Post Doctoral Fellow. This full-time role focuses on developing learning-based algorithms to regulate greenhouse conditions, notably lighting and CO2, and publication of research results.

Candidates should hold a Ph.D. in a related field and demonstrate experience in automation, control, and AI for controlled environments.

Qualifications

• Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or a related field.
• Strong knowledge of automation, control and AI applications in controlled environment agriculture.
• Experience with greenhouse or plant factory environments is desirable.

Responsibilities

• Conduct research and develop learning-based algorithms and tools to control greenhouse environmental conditions.
• Write technical papers and assist in proposal development.
• Perform other duties as assigned by Velni Lab/Department of Mechanical Engineering.

Skills

Automation

Control systems

AI applications

Computational sciences

Plant sciences

Education

Ph.D. in Mechanical Eng.

Job description

Clemson University: College of Engineering, Computing and Applied Sciences: Mechanical Engineering invites applications for a Post Doctoral Fellow. This full-time role focuses on developing learning-based algorithms to regulate greenhouse conditions, notably lighting and CO2, and publication of research results.

Candidates should hold a Ph.D. in a related field and demonstrate experience in automation, control, and AI for controlled environments.