※ [本文转录自 studyabroad 看板 #1c6B1X4R ]
作者: mrtnle0625 (Marcq en Baroeul) 看板: studyabroad
标题: [情报] UNL: Ph.D. of Digital Agriculture
时间: Fri Apr 12 11:54:06 2024
台大生工系校友梁维真 Wei-zhen Liang
( https://bse.unl.edu/faculty/wei-zhen-liang )，
现在在 University of Nebraska-Lincoln 担任教职，全美排名第六的生工系，
irrigation engineering 领域全美国最强。
这个博士的研究计画主要是负责酿酒用的葡萄园的环境监测，image analysis，看葡萄有
没有霉菌或生病，也要做数据分析。葡萄园在佛罗里达，每年会去2-3次，计画的研究基
金也提供去研讨会的经费，每年会让博士生去ASABE年会报告，也提供去其他研讨会的经
费。
不用一定要是生物工程背景，但是基本条件是会数据与图像分析的程式语言，Python,
C, MATLAB 会其中一个就可以，有AI、machine learning 的背景更好。
免学费，全额奖学金，奖学金扣完税每个月约2100美金。
教授买新笔电，上限3300美金。
有兴趣的话欢迎写信先跟梁教授约时间聊聊，
Email: [email protected]
以下为招生正文:
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
at University of Nebraska-Lincoln (UNL), renowned for being among the top 10
Agricultural Biological Engineering departments in the US. This position,
available from August 2024 or January 2025, comes with a $32,000 annual
stipend, plus additional coverage of tuition fees and health insurance,
separate from the stipend. 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 Florida and 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