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Added 3 days ago
CU
Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)
Clemson University MBA Programs
SK
- Full-time
Added 15 days ago
CU
Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)
Clemson University MBA Programs
SK
- Full-time
Added 1 month ago
CU
Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)
Clemson University MBA Programs
SK
- Full-time
Added 3 months ago
CU
Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)
Clemson University MBA Programs
SK
- Full-time
Added 1 month ago
CU
Director of Historic Preservation - Charleston, SC
Clemson University MBA Programs
ON · Moose Factory, ON
- Full-time

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Clemson University MBA Programs

Post Doctoral Fellow in Learning-based Control for Controlled Environment Agriculture (Mechanical Engineering)

SK, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Jul 23, 2026

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)

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Responsibilities

The fellow will conduct research and develop learning-based algorithms to control lighting and CO2 levels 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. Prior publications in AI applications for controlled environment agriculture and knowledge of plant sciences are required.

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

Keywords

Greenhouses
Plant Factories
Mechanical Engineering
Electrical Engineering
Agricultural Engineering
AI
Machine Learning
Automation
Control Systems
CO2 Control
Lighting Control
Computational Science
Research
Higher Education

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