Assistant Professor

Assistant Professor

Kansas State University is seeking applicants for a 9-month tenure track assistant professor working in applications of artificial intelligence and computer vision to agricultural machinery and precision agriculture.

The Carl and Melinda Helwig Department of Biological and Agricultural Engineering at Kansas State University seeks applicants for a tenure-track faculty position with the rank of assistant professor with expertise in application of artificial intelligence (AI) and computer vision applied to agricultural machine and sensor development and precision agriculture. This is a critical area of expertise for developing new sensing systems involving computer vision and artificial intelligence to realize next-generation solutions for manned and autonomous systems.
The successful candidate will join an interdisciplinary team housed within the Institute of Digital Agriculture and Advanced Analytics (ID3A). ID3A’s efforts include integrating digital technologies, i.e., sensors and robotics, with artificial intelligence, as well as fostering analytical and visualization systems to enable producers to make more rapid and informed decisions. Additionally, they work to train future producers and researchers on how to use these technologies and methods to yield data-informed decisions.

Ultimately, they aim to strengthen the collective effort toward solving some of the most pressing food, water, energy and environmental issues both in Kansas and around the world.
The successful candidate will also contribute to the undergraduate and graduate degree programs within the Carl R. Ice College of Engineering by teaching courses related to instrumentation, sensors, controls and machine design.

On-site.

All employees must reside in the United States when they begin working to comply with state law. K-State is unable to provide remote or hybrid work opportunities for residents of the state of Idaho.

• Must hold doctorate in Biological and Agricultural Engineering or a closely related engineering field by the time of appointment
• Demonstrated potential for excellence in teaching at the undergraduate and graduate levels
• Evidence of scholarly achievement and potential to secure external research funding
• Proven ability to publish research results in peer-reviewed journals commensurate with career stage
• A strong and clearly defined research agenda related to applications of artificial intelligence in precision agriculture that complements the strategic priorities of Kansas State University and its land-grant mission
• Strong communication and interpersonal skills

The degree requirement is necessary for accreditation purposes and to ensure candidates possess the specialized knowledge, skills, and abilities that can only be attained through a formal educational program at this level.

• University-level teaching experience
• Demonstrated record of obtaining extramural funding to support research
• Professional Engineering (P.E.) licensure, or ability to pursue licensure

This position is eligible for sponsorship.

Please submit the following documents:

• Letter of interest describing your professional history as it relates to the minimum and preferred qualifications of this position
• Curriculum Vitae
• Unofficial transcripts from degree granting institutions
• Statement of research plans
• Statement of teaching philosophy
• Contact information for three references

Applications close on:
March 26, 2026

$90,000 - $105,000

Kansas State University offers a supportive and inclusive community, dedicated to your professional growth. While specific benefits may vary by position, many roles come with comprehensive packages that support your well-being and work-life balance, including health and life insurance, retirement plans, and generous paid time off. To learn more about benefits that are available for various positions, visit our benefits overview page.

Applicants must be currently authorized to work in the United States at the time of employment.

Kansas State University is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity, age, national origin, disability or status as a protected veteran.

Some positions are eligible for remote or hybrid working arrangements. An employee who is working in a remote or hybrid capacity for K-State must reside within the United States in order to comply with all federal and state laws, filings, or tax requirements. Remote and hybrid work arrangements are not available for anyone who resides in the state of Idaho.

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