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Job ID: 154490

Assistant/Associate Professor in Biosensors and Artificial Intelligence (AI)
University of Florida

Date Posted Feb. 22, 2021
Title Assistant/Associate Professor in Biosensors and Artificial Intelligence (AI)
University University of Florida
Gainesville, FL, United States
Department Agricultural and Biological Engineering
Application Deadline Apr. 3, 2021
Position Start Date Aug. 16, 2021
  • Assistant Professor
    Associate Professor
  • Engineering/Engineering Extension
    Agricultural - General

Duties and Responsibilities
The Institute of Food and Agricultural Sciences is committed to creating an environment that affirms diversity across a variety of dimensions, including ability, class, ethnicity/race, gender identity and expression. We particularly welcome applicants who can contribute to such an environment through their scholarship, teaching, mentoring, and professional service.

This is a 9-month, tenure track position (60% research 40% teaching) in the Agricultural and Biological Engineering Department (ABE), Institute of Food and Sciences (IFAS). This position will work closely interfacing ABE with others in IFAS, Herbert Wertheim College of Engineering (HWCOE), and UF Artificial Intelligence thriving community.

The successful candidate is expected to establish an applied research program focused on the development, integration and use of biosensors and AI tools in agricultural and environmental (biological) applications to improve decisions and policies at the local, regional, and international level. The appointee is expected to develop biosensors to complement or replace existing analytical methodologies to measure biological, physical and chemical parameters in biological systems. Biosensor development is anticipated to consider big data and AI-based optimization of noisy/interacting readings, price, size, safety, and biodegradable qualities for different applications. Biosensor application examples in biological systems include precision agriculture, harmful algal blooms, water and soil pollutants, biological indicators, climate change, and food safety. Integration of biosensor networks and AI in rapid early warning systems related to these applications are also desired.

The teaching portion of this position will include development of a successful undergraduate and graduate education program which will introduce students to cutting-edge biosensor technology and techniques in the context agricultural and biological engineering and will include AI components. The 40% FTE commitment will typically be fulfilled by teaching one undergraduate and one graduate course per year as assigned by the department chair. In addition, the candidate will be expected to participate in co-teaching courses related to senior design and cross-cutting topics. Potential topics in the ABE curriculum might be an undergraduate-level course in Biosensors and a graduate-level course in Biosensors with AI, while other topics based upon candidate’s expertise and interests are welcome.

The successful candidate is expected to build a nationally and internationally recognized research program supported by a strong graduate research group and extramural funding from state and federal agencies. The candidate is expected to develop and promote his/her research activity and leadership in professional societies, supported by a sustained publication activity in top scientific journals. The candidate will have the opportunity to collaborate with other faculty and research partners, creating synergy both inside and outside of the University of Florida academic community. The candidate will be also expected to participate in all activities of departmental academic life such as research groups, mentorship of undergraduate and graduate students, and academic service activities; and work closely with other faculty in IFAS, the Herbert Wertheim College of Engineering, UF Research Computing, UF Institutes (Informatics, Water, Florida Climate, Food Systems) and the new UF – NVDIA flagship collaboration in AI.

The ABE department contributes to several department, college, and university efforts related to sensors, control systems, and AI through coursework, certificates, and interdisciplinary M.S. degrees. The successful candidate will participate, integrate, and provide leadership in these efforts to increase AI topic diversity with context-specific applications for biological systems, ensure that the curriculum is relevant and innovative, and expand biosensor curriculum options for undergraduate students.

Because of the IFAS land-grant mission, all faculty are expected to be supportive of and engaged in all three mission areas-Research, Teaching and Extension-regardless of the assignment
split specified in the position description. Candidates must be supportive of the mission of the Land-Grant system. Candidates must also have a commitment to IFAS core values of excellence, diversity, global involvement, accountability and a deep commitment to ethical dignity. The position is expected to provide appropriate levels of service to the department, college, university and/or discipline. Specific expectations are described in department, college and university policy statements regarding evaluation and promotion.


Ph.D. (doctorate) or foreign equivalent is acceptable in agricultural and biological engineering, electrical engineering, chemical engineering, or a closely related engineering field.

Understanding and/or interest related to some of the fields of biological engineering, agriculture, natural resources, food engineering, food science, chemistry, physics, microbiology, virology, biotechnology, and nanotechnology is required.

Candidates are expected to possess strong ability in verbal and written communication skills.

Candidates are expected to have demonstrated experience through research and refereed publication track-record in the area of biosensors and AI.

Demonstrated experience with grants and funding, interdisciplinary collaborations, and leading research projects.

Previous teaching experience related to biosensors, AI and systems modeling and analysis at the undergraduate and/or graduate level.

Postdoctoral and other professional experience, including academic, government R&D, and industry experience, are positive attributes.

Evidence of effective working in trans-disciplinary groups or consortia between academia and outside stakeholders.

Involvement in professional societies or other entities related to the discipline.

Mentorship experience with undergraduate or graduate students.

If an accommodation due to a disability is needed to apply for this position, please call 352-392-2477 or the Florida Relay System at 800-955-8771 (TDD) or visit Accessibility at UF.

  • The University of Florida is an Equal Opportunity Institution dedicated to building a broadly diverse and inclusive faculty and staff. The selection process will be conducted in accord with the provisions of Florida’s ‘Government in the Sunshine’ and Public Records Laws. Persons with disabilities have the right to request and receive reasonable accommodation.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Rafael Munoz-Carpena, PhD
    Agricultural and Biological Engineering
    University of Florida
    1741 Museum Road
    Gainesville, FL 32603
  • 352-294-6747


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