Job Listings

Assistant/Associate/Full Professor, Data-Driven Arid Crop Systems

The University of Arizona
Job Location:
Tucson, Arizona
Plant and Soil Science

Posting Number: req7695

Department: School of Plant Sciences-Res

Location: Main Campus

Address: Tucson, AZ USA

Position Highlights

The School of Plant Sciences at the University of Arizona seeks to hire a tenure-track faculty member at any rank (Assistant, Associate, or Full Professor) who will leverage emerging digital tools to address fundamental research questions in agriculture. Research on increased plant productivity in resource limited environments, specifically taking advantage of southern Arizona's hot, arid climate, will be favored. In addition, this position will serve the growing and diverse community of undergraduate and graduate students at University of Arizona, a designated Hispanic Serving Institution (HSI). The focus of this position will be on improving crop resiliency using field-based phenomics, genomics, and other technologies to dissect and understand the complex and dynamic interactions between crops and their environment.

The University of Arizona has invested heavily in genomics, field phenomics, data sciences, environmental sciences, remote sensing, and engineering to lead the next phase of plant biology in agricultural research. We seek to continually increase rates of genetic gain in agricultural crop productivity, quality, a/biotic stress tolerance, and climate resilience to meet the global challenges of food and socioeconomic security. Applicants that combine data science with areas of crop physiology, genotype-by-environment interaction, or ecophysiological modeling are encouraged to apply. Ideal candidates will straddle the empirical and quantitative/computational worlds by leveraging large data sets generated from field trials conducted under various growth conditions to provide insights into the mechanisms of plant stress physiology.

The College of Agricultural and Life Sciences at the University of Arizona is using the digital revolution to improve the resource-use efficiency and sustainability of crop production through its unique agricultural research centers, such as the Maricopa Agricultural Center (MAC, and its state-of-the-art high-throughput phenotyping system (robotic field scanner,

Arizona is the future climate of the world, today! Here at University of Arizona, we are building on our existing strengths of data science, phenomics, plant sciences, engineering, and cyberinfrastructure to create knowledge and understanding from disparate data to improve agricultural productivity.

UA benefits include health, dental, and vision insurance plans; life
insurance and disability programs; sick leave
and holidays; UA/ASU/NAU tuition reduction for the employee and qualified
family members; state and optional retirement plans; access to UA recreation
and cultural activities; and more!

The University of Arizona has been recognized for our innovative
work-life programs. For more information about working at the University of
Arizona and relocations services, please visit

Employee COVID-19 Vaccine

All University employees are required to submit documentation
demonstrating they are fully vaccinated for COVID-19 as a condition of
employment unless granted a religious or disability/medical accommodation. New
hires must submit their COVID-19 vaccine documentation or accommodation
request no later than one week after their hire date or by January 4, 2022,
whichever occurs later. To learn more about the employee COVID-19 vaccine
requirement, submitting vaccine documentation, and/or requesting an
accommodation, please visit

Duties & Responsibilities


  • Create a successful, internationally-recognized, and independently-funded research program in the area of crop biology or improvement.
  • Conduct field-based research to test hypotheses related to arid agroecosystems with an emphasis on abiotic stress tolerance such as heat and drought.
  • Work at the interface of plant agriculture and data science employing a strong command of data synthesis to advance understanding and solve complex agricultural problems at scale.
  • Mentor diverse populations of undergraduates and graduate students in research.
  • Teach one or more courses at the undergraduate and/or graduate level that emphasize quantitative or computational methods to solve problems related to agricultural production and cropping systems.
  • Participate in shared governance through service on departmental, college, and/or university committees.

activities MAY include:

  • Lead and collaborate in cutting-edge research in crop systems, especially for stresses associated with hot, arid environments.
  • Apply multiple high-throughput phenotyping tools, platforms, and methodologies for the quantitative description and analysis of important plant traits, with an emphasis on remote and proximal sensing in the field.
  • Leverage and develop machine learning and image informatics techniques to integrate and analyze high-throughput phenotyping and related -omics data from plants.
  • Develop predictive models of plant performance and yield in arid environments.
  • Devise improved processes and decision-making tools using computational strategies to more efficiently explore large, dense plant-based datasets.
  • Leverage and develop novel sensor technologies to observe, monitor, and quantify plant traits at scales ranging from molecules to fields.
  • Develop novel approaches to better understand and manipulate crop stress physiology.
  • Develop collaborations across the University of Arizona that leverage its expertise in robotics, engineering, controlled environments, computational sciences, image analytics, machine learning, optical engineering, and scalable cyberinfrastructure.

Knowledge, Skills and Abilities

  • A commitment to excellence in teaching a diverse student body.
  • Demonstrated ability to grow crops in agriculture plots and/or handle large volumes of data (100TBs)

Minimum Qualifications


  • A Ph.D. degree in the field of plant sciences, genetics, plant physiology, computer sciences, agricultural engineering or systems management, or a related discipline. Candidates with experience in crop sciences, crop systems, high-throughput plant phenotyping, remote sensing, advanced image informatic analysis, and/or bioinformatics are strongly encouraged to apply.
  • Demonstrated excellence in research, as evidenced by original, peer-reviewed publications (commensurate with career stage).
  • Demonstrated excellence in collaborative, multi-disciplinary science.

Rank: To be Determined

Tenure Information

Tenure Track (T/TE)

FLSA: Exempt

Full Time/Part Time: Full Time

Number of Hours Worked per Week: 40

Job FTE: 1.0

Work Calendar: Academic

Job Category: Teaching Faculty

Benefits Eligible: Yes - Full Benefits

Rate of Pay: DOE

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates

For additional information, please contact the Search Committee Chair: Dr. Eric Lyons at

Open Until Filled: Yes

Documents Needed to Apply: Curriculum Vitae (CV), Cover Letter, and Three Additional Documents

Special Instructions to Applicant

Please Include: a CV, (in the Cover Letter slot) please submit a statement of current and proposed research (4-page max), (In the Additional Document slot) a statement of teaching experience and philosophy (2-page max), (In the Additional Document slot) a statement of Diversity, Equity, and Inclusivity (2-page max), and (In the Additional Document slot) a list of 3 references (as one document).

Diversity Statement

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

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