Assistant/Associate Professor, Computational Agricultural Biology

Colorado State University, United States

Updated: over 1 year ago
Location: Fort Collins, COLORADO
Deadline: 01 Sep 2022

Posting Details
Posting Detail Information


Working Title Assistant/Associate Professor, Computational Agricultural Biology
Position Location Fort Collins, CO
Is this position eligible for hybrid or remote work?
Posting Number 202200068F
Proposed Annual Salary Range $85,000 to $95,000 plus comprehensive benefits package. Salary is commensurate with qualifications and skills.
Employee Benefits
Colorado State University (CSU) is committed to providing employees with a strong and competitive benefits package that supports you, your health, and your family. Visit CSU’s Human Resources website for detailed benefit plan information for permanent full-time and part-time faculty and administrative professional employees in the following University benefit areas: https://hr.colostate.edu/hr-community-and-supervisors/benefits/benefits-eligibility/ and https://hr.colostate.edu/prospective-employees/our-perks/ .
Position Type Faculty
Work Hours/Week 40
Description of Work Unit
The Department of Agricultural Biology is committed to excellence in the creation and dissemination of knowledge about insects, plant pathogens, and plants. AB focuses its teaching, research, and outreach missions in four program areas: 1) Genomics and Molecular Biology, 2) Ecology and Biodiversity, 3) Biology and Management of Invasive Species, and 4) Integrated Pest Management. Being interdisciplinary in nature, AB values cooperative and collaborative efforts within departmental teams, other research teams within the University, stakeholder, and industry.
Tenure/Tenure Track? Yes
% Research 60
% Teaching 30
% Service 10
% Administration 0
To ensure full consideration, applications must be received by 11:59pm (MT) on 09/01/2022
Number of Vacancies 1
Desired Start Date
Position End Date
Position Summary
The Department of Agricultural Biology at Colorado State University (CSU) seeks a dynamic and highly motivated scientist with expertise in data science for a tenure-track Assistant/Associate Professor faculty position for Spring or Fall 2023. This 9-month position is 60% research, 30% teaching, and 10% service appointment.
Agriculture is facing increasing challenges from climate change, pest outbreaks and resource constraints. Many solutions to these challenges depend on the ability to generate, analyze, and interpret large, complex data sets. The selected candidate will build an innovative, internationally recognized, and extramurally funded research program in agricultural biology that leverages advances in data science to better understand and improve agricultural systems. The program can leverage data at any scale (sequencers, sensors, satellites, etc.), using and/or developing novel methods based on machine learning, mechanistic modeling, phenomics, or other approaches.
This position was created as part of a new initiative to provide training opportunities and curriculum in data science for the next generation of agricultural scientists and leaders. The selected candidate will develop and teach new graduate and undergraduate courses on data science in agriculture and train students capable of bridging the gap between the generation, analysis, and interpretation of big data in agriculture.
Conditions of Employment Pre-employment Criminal Background Check (required for new hires)
Required Job Qualifications
  • Doctoral degree in biology, data science, statistics, or other relevant fields completed by September 2022.
  • Demonstrated experience in data science related to biological/agricultural systems, such as big data analytics, computational biology, data visualization, machine learning, statistical modeling, or data mining.
  • Demonstrated potential for excellence in effective and inclusive teaching and mentoring of undergraduate and/or graduate students.
  • A strong record of scholarly/professional achievement commensurate with career stage.
  • Demonstrated communication skills.
  • Demonstrated ability to advance the department’s commitment to diversity, equity, and inclusion.
Preferred Job Qualifications
  • Demonstrated proficiency in statistical and/or mathematical programming languages.
  • Post-doctoral experience in academia and/or industry.
  • Experience in teaching data science and analytics using computational tools and methods, and experience with big data computational ecosystems.
  • Successful track record of obtaining extramural research funding.
Special Instructions to Applicants
Applications will be accepted until the position is filled. For full consideration, apply by September 1, 2022. Applicants should upload the following: (1) A cover letter addressing your qualifications; (2) CV; (3) Statement of Teaching and Mentoring Philosophy; and (4) Research Statement; and (5) Contact information of three professional references, one of who is/was an immediate supervisor, who has firsthand knowledge of an applicant’s professional abilities. References will not be contacted without prior notification of candidates. For inquiries about the position, contact Search Chair [email protected] .
Background Check Policy Statement
Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.
EEO Statement
Colorado State University is committed to providing an environment that is free from discrimination and harassment based on race, age, creed, color, religion, national origin or ancestry, sex, gender, disability, veteran status, genetic information, sexual orientation, gender identity/expression, or pregnancy in its employment, programs, services and activities, and admissions, and, in certain circumstances, marriage to a co-worker. The University will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Colorado State University is an equal opportunity and equal access institution and affirmative action employer fully committed to achieving a diverse workforce and complies with all Federal and Colorado State laws, regulations, and executive orders regarding non-discrimination and affirmative action. The Office of Equal Opportunity is located in 101 Student Services.
The Title IX Coordinator is the Director of the Office of Title IX Programs and Gender Equity, 123 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-1715, [email protected] .
The Section 504 and ADA Coordinator is the Director of the Office of Equal Opportunity, 101 Student Services Building, Fort Collins, CO 80523-0160, (970) 491-5836, [email protected] .
The Coordinator for any other forms of misconduct prohibited by the University’s Policy on Discrimination and Harassment is the Vice President for Equity, Equal Opportunity and Title IX, 101 Student Services Building, Fort Collins, Co. 80523-0160, (970) 491-5836, [email protected] .
Any person may report sex discrimination under Title IX to the Office of Civil Rights, Department of Education .
Diversity Statement
Personal and professional commitment to diversity and inclusion as demonstrated by involvement in teaching, research, creative activity, service to the profession and/or diversity/inclusion activities.
Search Contact [email protected]

Essential Duties


Job Duty Category Research
Duty/Responsibility
Build an innovative, internationally recognized, and extramurally funded research program in agricultural biology that leverages advances in data science to better understand and improve agricultural systems. The program can leverage data at any scale (sequencers, sensors, satellites, etc.), using and/or developing novel methods based on machine learning, mechanistic modeling, phenomics, or other approaches.
Percentage Of Time 60
Job Duty Category Teaching
Duty/Responsibility
Develop and teach new graduate and undergraduate courses on data science in agriculture and train students capable of bridging the gap between the generation, analysis, and interpretation of big data in agriculture.
Percentage Of Time 30
Job Duty Category Service
Duty/Responsibility
Build collaborative efforts within the University, stakeholder, and industry. Service to department, college, campus committees.
Percentage Of Time 10

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