Job Description

Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)
Clemson University: College of Engineering, Computing and Applied Sciences: Mechanical Engineering
Location: EIB 134
Open Date: Jun 26, 2025
Description
Velni Lab in the Department of Mechanical Engineering at Clemson University invites applications for a Post Doctoral Fellow position. This is a full-time appointment, with main duties of conducting research, writing technical papers, assisting in proposal development, and other duties as assigned.
Specific requirements: The assigned work entails developing new learning-based algorithms and tools to control the environmental conditions (in particular, lighting and CO2) in greenhouses. The applicants are expected to have prior knowledge of automation, control and AI applications in controlled environment agriculture demonstrated by prior publications. Strong and fundamental knowledge of plant sciences, as well as computational sciences (e.g., controls and machine learning) are required. Prior hands-on experience in greenhouses or plant factories is desired.
Qualifications
Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or a related field
Application Instructions
Applications, including a cover letter, full CV (including Google Scholar link), unofficial undergraduate and graduate transcripts, and names and contact info for three references, should be submitted through Interfolio (https://apptrkr.com/6727386
For more information and to apply, visit https://apptrkr.com/6727386
Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.

Skills Required