Clemson University
Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engin
Clemson University, Clemson, South Carolina, United States, 29631
Overview
Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engineering) Clemson University: College of Engineering, Computing and Applied Sciences: Mechanical Engineering Location:
Fluor Daniel 134 Open Date:
Mar 12, 2025
Responsibilities
Conduct research.
Write technical papers.
Assist in proposal development.
Other duties as assigned.
Vacancies
First vacancy: 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.
Second vacancy: 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. Please include cover letter, C.V., and three contact references.
For more information and to apply, visit Interfolio.
Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.
#J-18808-Ljbffr
Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engineering) Clemson University: College of Engineering, Computing and Applied Sciences: Mechanical Engineering Location:
Fluor Daniel 134 Open Date:
Mar 12, 2025
Responsibilities
Conduct research.
Write technical papers.
Assist in proposal development.
Other duties as assigned.
Vacancies
First vacancy: 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.
Second vacancy: 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. Please include cover letter, C.V., and three contact references.
For more information and to apply, visit Interfolio.
Clemson University is an EEO/AA employer. Employment decisions are made without regard to characteristics protected by applicable law including disability and protected veteran status.
#J-18808-Ljbffr