The Ohio State University seeks qualified candidates for a 9 month, tenure-track faculty position. The position will concentrate on Research and Instruction. The successful candidate will conduct engineering proximity sensor technology and data management science research relating to crop health and yield assessment for precision field and controlled environment crop production, and high throughput phenotyping systems. Research topics will include two or more of the following sensing and information technologies: in situ crop gas exchange sensors, multispectral imaging devices, in situ soil nutrient sensors, non-contact soil moisture sensing technologies, smart sensors, database management, and data mining. The successful candidate will teach courses related to instrumentation, data management, and controls for crop production. Other courses could include: smart sensors, data mining for biological systems, machine vision, sensing of plant physiological processes, and automation for plant production systems. The successful candidate will be expected to establish a nationally and internationally recognized research program supported by extramural funding. Additional responsibilities include: provide leadership to the profession through state and national professional society participation, and advise graduate and undergraduate students and be involved with co-curricular programs or student clubs and organizations. This position is partially funded by Translational Data Analytics, a focus area of Ohio State's Discovery Themes Initiative, a significant investment that leverages the university's expansive scholarly resources, creativity and shared commitment to make a global impact
Minimum qualifications include an earned Ph.D. in agricultural engineering, biological engineering or closely allied discipline; and registration as a Professional Engineer or demonstrated eligibility. The candidate must have formal training and experience in three or more of the following areas: instrumentation, data acquisition and signal processing; mathematic modeling and simulation languages; geographic information systems; statistical data analysis tools; cloud-based systems for transmitting and storing large, complex data sets; and data, information visualization, and plant physiology. The preferred candidate will have a crop production background demonstrated via holding academic degrees and/or completing significant coursework in sensors, electronics, data management, data analysis, plant sciences, soil sciences or plant pathology. Candidates should have crop production experience; excellent speaking and writing skills; ability and desire to work in interdisciplinary, interdepartmental research teams; and teaching. The candidate must establish and conduct a research program resulting in national impacts and high-quality publications. Industry experience is desirable. Preferred Qualifications: Experience developing or working in interdisciplinary research teams, experience in mentoring members of underrepresented groups.
Our Commitment to Diversity
The Ohio State University is committed to fostering a culturally and intellectually diverse environment and encouraging all members of our learning community to reach their full potential. We are responsive to dual-career families and actively promote work-life balance to support our community members through a suite of institutionalized policies. We are an NSF ADVANCE Institution and a member of the Ohio/Western Pennsylvania/West Virginia Higher Education Recruitment Consortium.