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Clemson University MBA Programs

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

SK, Canada

Job type: Full-time
Apply by: Oct 5, 2026
Posting language: English
Posted: Sep 26, 2026

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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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More about this job

Responsibilities

Develop learning-based algorithms and tools to control greenhouse environmental conditions, particularly lighting and CO2. Conduct research, write technical papers, assist with proposal development, and perform other assigned duties.

Requirements

A Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or a related field is required. Applicants should have publication-demonstrated experience with automation, control, and AI in controlled environment agriculture, along with strong plant science and computational science knowledge; hands-on greenhouse or plant factory experience is desired.

Skills

Learning-Based Algorithms
Control Systems
Automation
Artificial Intelligence
Machine Learning
Greenhouse Environmental Control
Lighting Control
CO2 Control
Plant Sciences
Computational Sciences
Research
Technical Writing
Proposal Development

Visa sponsorship

Not detected in the job text

Keywords

Clemson University
Mechanical Engineering
Electrical Engineering
Agricultural Engineering
Postdoctoral Research
Learning-Based Control
Greenhouses
Plant Factories
Environmental Conditions
Lighting
CO2
Automation
Control Systems
Artificial Intelligence
Machine Learning
Plant Sciences
Computational Sciences
Research
Technical Papers
Proposal Development
Google Scholar

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