[情報] UNL Biological Systems Engineering

代PO
抱歉 完整標題是: UNL Biological Systems Engineering 台灣教授招生

以下是梁教授 ( [email protected] ) 的招生 flyer

Ph.D. Graduate Research Assistant Position: Digital Agriculture

Description

A graduate research assistant (GRA) is available for a self-motivated Ph.D.
level graduate student in the Department of Biological Systems Engineering atUniversity of Nebraska-Lincoln (UNL), renowned for being among the top 10
Agricultural Biological Engineering departments in the US. This role,
beginning as early as August 2024, offers a $30,000 annual stipend, tuition
fee waiver, and health insurance. All renewable annually based on
performance. The student will be advised by Dr. Wei-Zhen Liang at UNL, while
working closely with other research collaborators.

Research Focus

Potential research topics include but are not limited to digital agriculture,image analysis, IoT sensor development, agricultural data analysis, crop
modeling, AI and machine learning. A significant aspect of the Ph.D. project
will focus on developing cutting-edge solutions in digital agriculture, with
a primary emphasis on developing disease and weed image detection algorithms
and advanced camera systems for various crops. The project also involves
creating a decision-making tool that integrates technology with agricultural
practices, providing growers and researchers with insights for optimizing
crop management. Field work opportunities include grapevine fields in Floridaand various row crops, like corn, soybean, dry edible beans, sugar beets in
Nebraska. The successful applicant should be highly self-motivated,
enthusiastic, have a strong desire to learn new skills, and the capable of
working both independently and in collaboration with other graduate students,technicians, research specialists, and local growers.

Qualification

· Must earn M.S. degree in agricultural, biosystems, civil, environmental
engineering or closely related field.

· GPA of 3.0 or higher (on a 4.0 point scale) is required.

· Must have an interest in taking a cross-disciplinary approach to
understand and solve agricultural data analysis and sensor development
related issues.

· Willingness to work in electronic lab and on field and collaborate with
multiple stakeholders.

· A minimum score of 79 on TOEFL or 6.5 on IELTS.

Preferred Qualifications:

· Experience conducting research, sensor design, and field work

· Experience using Python or C

Contact Person

Wei-zhen Liang, Ph.D., Research Assistant Professor

Department of Biological Systems Engineering, UNL Email:
[email protected]

Phone: 919-802-2925

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