Inside Higher Ed
Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engin
Inside Higher Ed, Clemson, South Carolina, United States, 29631
Post Doctoral Fellow in Digital/Precision Agricultural Systems (Mechanical Engineering)
The Department of Mechanical Engineering at Clemson University invites applications for Post Doctoral Fellow positions focused on next‑generation digital agricultural systems. The appointments are full‑time and involve conducting research, writing technical papers, and assisting in proposal development. Specific work areas: Develop AI‑driven, distributed computing tools for data processing and decision making in field‑based plant phenotyping. Develop algorithms and tools to control environmental conditions (lighting and CO2) in greenhouses. Qualifications: Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or a related field. Demonstrated experience and publications in data‑driven digital agriculture (first vacancy) or in automation, control, and AI applications in controlled‑environment agriculture (second vacancy). Strong knowledge of plant sciences and computational sciences (controls, machine learning). Prior hands‑on experience in the field or greenhouse desirable. Application Instructions:
Apply via interfolio (http://apply.interfolio.com/164873). Include cover letter, CV, and three contact references. EEO Statement:
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. Posted by the FREE value‑added recruitment advertising agency.
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The Department of Mechanical Engineering at Clemson University invites applications for Post Doctoral Fellow positions focused on next‑generation digital agricultural systems. The appointments are full‑time and involve conducting research, writing technical papers, and assisting in proposal development. Specific work areas: Develop AI‑driven, distributed computing tools for data processing and decision making in field‑based plant phenotyping. Develop algorithms and tools to control environmental conditions (lighting and CO2) in greenhouses. Qualifications: Ph.D. in Mechanical Engineering, Electrical Engineering, Agricultural Engineering, or a related field. Demonstrated experience and publications in data‑driven digital agriculture (first vacancy) or in automation, control, and AI applications in controlled‑environment agriculture (second vacancy). Strong knowledge of plant sciences and computational sciences (controls, machine learning). Prior hands‑on experience in the field or greenhouse desirable. Application Instructions:
Apply via interfolio (http://apply.interfolio.com/164873). Include cover letter, CV, and three contact references. EEO Statement:
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. Posted by the FREE value‑added recruitment advertising agency.
#J-18808-Ljbffr