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Sayantan Samanta

Assistant Professor

Mississippi State University

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United States

Has open position

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Research Interests

Agricultural Engineering

10%

Hydrology

20%

Agriculture

20%

Environmental Science

20%

Biology

10%

Ecosystem Management

10%

Remote Sensing

10%

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Positions2

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Sayantan Samanta

University Name
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Mississippi State University

Graduate Research Assistantships in Agricultural and Biological Engineering (PhD and MS) at Mississippi State University

Mississippi State University's Department of Agricultural and Biological Engineering is offering multiple Graduate Research Assistantship positions (one M.S. and two Ph.D.) in the AgroHydrology Laboratory. The lab's primary focus is on developing strategies to promote soil and water conservation, maximize agricultural productivity, and enhance ecosystem services through sustainable practices. Research areas include watershed scale assessment of regenerative agricultural practices and their impact on downstream water quality, as well as the development of irrigation decision support systems. Projects involve linking soil property variations to management practices, modeling the effects of regenerative agriculture, coupling modeling frameworks, integrating remote sensing and sensor networks, and developing decision logic for irrigation management. Applicants should hold an MS in Agricultural Engineering, Civil Engineering, Hydrology, Soil and Plant Science, or a closely related discipline. International candidates must provide a valid TOEFL score of 79 iBT or IELTS score of 6.5. Demonstrated expertise in hydrologic, water quality, crop, or ecosystem modeling is required, along with proficiency in programming languages such as R, Python, or MATLAB. Funding is provided through Graduate Research Assistantships, which typically include a stipend and tuition coverage. Interested candidates should apply online via the provided link and ensure all eligibility requirements are met. The opportunity is ideal for students interested in agricultural engineering, environmental science, and hydrologic modeling.