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University of California, Davis

Postdoc in AI, Digital Twins, and Energy Optimization for Controlled-Environment Agriculture at UC Davis University of California, Davis in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Salary follows UC Davis postdoc policy. Duration is 2 years with a possible third-year extension.

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Country

United States

University

University of California, Davis

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Keywords

Computer Science
Environmental Science
Agriculture
Mechanical Engineering
Electrical Engineering
Biology
Artificial Intelligence
Reinforcement Learning
Digital Twin Technology
Internet Of Things
Multi-objective Optimization
Model Predictive Control
Controlled Environment Agriculture
Home Monitoring
ML

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About this position

Postdoctoral opening at the Controlled Environment Engineering (CEE) Lab, Department of Biological and Agricultural Engineering, University of California, Davis, led by Dr. Shamim Ahamed.

The project focuses on energy and thermal optimization for controlled-environment plant and animal production facilities, including greenhouses, vertical farms, and livestock housing. Research topics include heat and mass transfer modeling, multi-objective optimization, model predictive control, reinforcement learning, digital twins, and IoT/machine-learning-based monitoring.

Ideal candidates should have a PhD in biosystems/agricultural engineering, mechanical engineering, energy systems, electrical/computer engineering, or a related field. The post also highlights experience in optimization, advanced control, sensor networks, Python/MATLAB, and machine learning, plus first-author publications and grant-writing ability.

Funding is a paid postdoc with salary following UC Davis postdoc policy. The appointment is for 2 years with a possible third-year extension. The position is based in Davis, California, USA, and the start date is January 2027 or soon after.

To apply, email a single PDF with a cover letter, CV, research statement (up to 3 pages), two publications, and three references to [email protected] with the subject line Postdoc Application – CEA Energy and Control. Review is rolling until the position is filled.

Funding details

Salary follows UC Davis postdoc policy. Duration is 2 years with a possible third-year extension.

What's required

PhD in biosystems/agricultural, mechanical, energy systems, or electrical/computer engineering, or a related field. Strong expertise in optimization and advanced control, sensor networks and IoT, Python/MATLAB, and machine learning. First-author publications and grant-writing ability are required/preferred.

How to apply

Email one PDF containing a cover letter, CV, research statement (up to 3 pages), two publications, and three references to [email protected]. Use the subject line: "Postdoc Application – CEA Energy and Control".

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