Assistant Professor of AI Technology

Essential Job Functions, Duties, And Responsibilities

• Develop a high impact, nationally recognized AI research program to address the critical issues in food and agriculture.
• Conduct innovative field and lab research and outreach activities focusing on precision agriculture technology, crop and soil monitoring, livestock management, sensor technology, big data analytics, or related areas.
• Write grant proposals for extramural, competitive funding to support AI research and outreach programs.
• Publish scientific research findings in peer-reviewed journals and present findings at relevant professional conferences.
• Collaborate with faculty within the University and other research institutions to address critical issues in AI technology and applications as related to food and agriculture.
• Work closely with the University's research farms, extension educators, and public-private partners.
• May be required to teach AI-related courses, supervise undergraduate/graduate students, and provide departmental, college and university services as assigned.
• Other duties as assigned by the Dean or Associate Research Director.

Knowledge, Skills, And Abilities

• Demonstrated ability to conduct quality research, publish research articles in peer-reviewed journals and secure extramural funding through grant proposals.
• Strong interpersonal skills with demonstrated verbal and written communication skills.
• Self-motivated with excellent organizational skills and attention to detail.
• A collaborative mindset, valuing different perspectives and working effectively in a collaborative environment.

Qualifications

• Ph.D. in Computer Science, Data Science, or a closely related field with a focus on Artificial Intelligence and its applications in precision agriculture technology.
• Postdoctoral research experience in applying AI techniques to agricultural systems.
• Preferred qualifications include proficiency in AI tools and frameworks with a focus on agriculture applications, experience with big data analytics techniques (e.g., machine learning, statistical modeling, predictive analysis, and data mining), scientific journal publications in relevant fields, and ability to work both independently and in a team environment.

Physical Demands

• Prolonged periods of sitting at a desk and working on a computer.
• Ability to drive vehicles and must have a valid driver's license.
• Ability to lift moderately heavy objects.

Benefits

The position offers full benefits eligibility including health insurance, retirement plans, and paid time off.

Schedule

This is a 12-month, non-tenure track, full-benefit eligible position.

Pay

$70,000 - $78,000 per year.