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Department: 110901 - Crop and Soil Sciences
Location: Raleigh, North Carolina
Essential Job Duties:
The Department of Crop and Soil Sciences in the College of Agriculture and Life Sciences at North Carolina State University is pleased to announce recruitment for a non-tenure-track Research Assistant Professor with formal appointments in research (90%) and extension (10%).
This Research Assistant Professor will lead and manage engineering applied to agricultural research activities for grant-funded projects designed to assess the status of North Carolina cropping systems, remote-sensing, computer vision, and robotics. In addition, the successful candidate will improve communication systems in the field, integrate IoT for field data-driven monitoring, and develop new technologies to monitor crops in the field creating feedback control to improve crop performance through deep learning. The successful candidate will develop a research and academic program that focuses on engineering techniques applied to agriculture. Publication of research results in internationally recognized peer-reviewed journals is required. The successful candidate will be expected to mentor graduate students and write grants. The Research Assistant Professor will work with researchers and staff associated with the Department of the Crop and Soil Sciences and USDA's grant-funded projects to assist in the management and conduct of research—e.g., oversight of research methods, project documentation, report management, organization of research meetings and workshops, data analysis. The Research Assistant Professor will conduct engineering research related to diverse project objectives and will collaborate with both Departmental as well as inter-disciplinary investigators when warranted.
Inclusiveness and diversity are academic imperatives and thus are university goals. We are particularly interested in candidates who have experience working with students from diverse backgrounds and a demonstrated commitment to improving access to higher education for students from underrepresented groups.
Participation and collaboration with other Department of Crop and Soil Sciences initiatives that are aligned is expected including data sharing, research collaboration, and presentation of findings.
Other duties as assigned and determined by the department head.
Requires doctor’s degree, an equivalent degree, or equivalent professional experience.
The following qualifications & skills are required:
Demonstrated ability to work in partnership with a diverse group of stakeholders including research and extension personnel, regulatory agencies, farmers and farm organizations, agri-business entities and non-profit advocacy organizations.
Exceptionally well-organized, a strong writer, a strong project manager, and have the ability to conduct and lead engineering research including image processing and computer vision for agriculture, hardware automation for outdoor environments, embedded systems, programming skills, on-farm networks, high throughput phenotyping, and systems improvement projects.
Training and experience and a deep understanding of computer vision algorithms and libraries, machine learning for pattern recognition and hardware interfacing.
Demonstrated experience building and applying imaging and analysis techniques to wide range of problems in machine vision.
Demonstrated ability to deliver scientific results and communicate machine learning concepts utilized in a cross-functional environment.
Ability to deploy IoT technologies automating data acquisition and integration from a wide variety of sensors.
Ability to identify, plan and execute on opportunities to use hardware and software to automate R&D operations and increase field efficiencies.
Demonstrated research productivity through publications in relevant refereed journals, and an existing record of, or strong potential for, successful grant procurement.
It is essential that the incumbent conduct team-oriented research, exhibit exceptional leadership abilities, and demonstrate effective written and verbal communication skills.
The following qualifications & skills are preferred, but not required:
PhD in Engineering, Electrical/Computer Engineering, Computer Science, or a related discipline and at least 10 years experience working in engineering applied to agriculture research and/or development.
The successful candidate should be highly independent and pro-active individual with excellent communication skills (written, oral, presentation, etc.), project management experience, and have experience leading and conducting engineering science research.
The successful candidate should have experience working with farmers and other small-businesses in agriculture; knowledge of new developments for agriculture and experience constructing operating budgets; and experience advising others (students, professionals) on engineering science research methods of data collection and analysis.
The successful candidate must have a commitment to excellence in teaching, research and extension appropriate to a land-grant university, and be able to communicate and interact effectively with faculty, staff, students, administrators, relevant commodity groups, and the public.
Required license or certification:
Position Number: 00000342
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