Assistant Professor of AI Technology
Lincoln University of Missouri
- Jefferson City, MO
- $70,000-78,000 per year
- Permanent
- Full-time
- 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.
- 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 detailed.
- A collaborative mindset, valuing different perspectives and working effectively in a collaborative environment.
- 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.
- 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.
- Ability to work both independently and in a team environment.
- 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.