At a glance
Automatically prepared from the listing. Check the original description for the full requirements.
Jump to the original descriptionResponsibilities
The fellow will conduct research to develop learning-based algorithms for controlling lighting and CO2 in greenhouses. Additional duties include writing technical papers and assisting in the development of research proposals.
Requirements
Applicants must hold a Ph.D. in Mechanical, Electrical, or Agricultural Engineering or a related field. Strong knowledge of plant sciences, controls, and AI applications in controlled environment agriculture is required.
Working hours
40 hours per week
Skills
- Learning-based Control
- Automation
- Artificial Intelligence
- Machine Learning
- Plant Sciences
- Computational Sciences
- Technical Writing
- Proposal Development
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Engineering
- Agriculture
- Education
- Technology
Keywords
- Greenhouses
- Plant Factories
- Mechanical Engineering
- Electrical Engineering
- Agricultural Engineering
- Automation
- Control Systems
- Machine Learning
- AI
- CO2 Control
- Lighting Control
- Computational Sciences
Original job description
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://apply.interfolio.com/169674)
