Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engineering)
Clemson UniversityAbout the role
Description
The department of Mechanical Engineering at Clemson University invites applications for multiple Post Doctoral Fellow positions. These are full-time appointments, with main duties of conducting research, writing technical papers, assisting in proposal development, and other duties as assigned.
Specific requirements: Velni Lab at Clemson University has immediate openings for several Postdoc Fellows (PDF) to work on the next generation of digital agricultural systems. On the first PDF vacancy, the assigned work entails developing new AI-driven and distributed computing tools for big data processing and decision making in field-based plant phenotyping. The applicants are expected to have demonstrated experience and published in data-driven digital agriculture during their PhD studies. On the second vacancy, the assigned work entails developing new algorithms and tools to control the environmental conditions (lighting and CO2) in greenhouses. The applicants for the second vacancy are expected to have prior knowledge of automation, control and AI applications in controlled environment agriculture demonstrated by prior publications. For both vacancies, strong and fundamental knowledge of plant sciences, as well as computational sciences (e.g., controls and machine learning) are required. Prior hands-on experience, either in the field or in greenhouse, is desired although not required.
Qualifications
Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultal Engineering, or a related field
Application Instructions
Apply via interfolio (http://apply.interfolio.com/164873). Please include cover letter, C.V., and three contact references.
Equal Employment Opportunity Statement
Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.
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