Mississippi State University
2 months ago
PhD Graduate Assistantship in Agricultural and Biological Engineering at Mississippi State University Mississippi State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
This is a fully funded PhD position covering stipends, tuition waivers, and insurance.
Deadline
Aug 1, 2026
Country
United States
University
Mississippi State University

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About this position
Mississippi State University is offering a fully funded PhD Graduate Research Assistantship in Agricultural and Biological Engineering, led by Dr. Nuwan Wijewardane. The position is ideal for candidates passionate about agricultural and biological engineering, biosystems engineering, computer science, mechanical or electrical engineering, and related fields. The research project will involve advanced topics such as data analysis, spectroscopy, sensing, mechatronics, programming (Python or MATLAB), and applications of machine learning and AI. Successful candidates will be expected to collaborate in a multidisciplinary environment and contribute to peer-reviewed journals and conference publications.
Applicants must have a bachelor's or master's degree in a relevant field with a minimum GPA of 3.0. Strong English writing and communication skills are required, and non-native English speakers must provide a TOEFL score of at least 79 iBT or an IELTS score of 6.5 or higher. Preferred qualifications include experience in data analysis, scientific programming, machine learning, and a record of scientific publications.
The assistantship provides full financial support, including stipends, tuition waivers, and insurance. The anticipated start date is Summer/Fall 2026. Interested applicants should apply via the provided online form, submitting a cover letter, CV, transcripts, test scores, and references. Direct emailing is discouraged, and applications will be reviewed on a rolling basis until the position is filled. For more details, visit the department and graduate admissions websites.
Key academic keywords: Agricultural Engineering, Biological Engineering, Data Analysis, Spectroscopy, Sensing, Mechatronics, Machine Learning, AI, Computer Science, Mechanical Engineering, Electrical Engineering.
Funding details
This is a fully funded PhD position covering stipends, tuition waivers, and insurance.
What's required
Applicants must hold a bachelor's or master's degree in Agricultural and Biological Engineering, Biosystems Engineering, Computer Science and Engineering, Mechanical/Electrical Engineering, or a related field with a minimum GPA of 3.0. Strong English writing and communication skills are required. Non-native English speakers must provide a TOEFL score of at least 79 iBT or an IELTS score of 6.5 or higher. Preferred qualifications include experience in data analysis, spectroscopy, sensing, mechatronics, programming (Python or MATLAB), proficiency in machine learning and AI, and a record of scientific publications.
How to apply
Apply through the provided online form. Prepare a cover letter describing research interest, CV, transcripts, test scores, and a list of three references. Do not email directly. Review of applications begins immediately and continues until positions are filled.
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