Job Information
Colorado State University Postdoctoral Fellow (Minas Lab) in Fort Collins, Colorado
Posting Detail Information
Working TitlePostdoctoral Fellow (Minas Lab)
Position LocationFort Collins, CO
Work LocationPosition is fully remote
Research Professional PositionYes
Posting Number202400874AP
Position TypeAdmin Professional/ Research Professional
Classification TitlePostdoctoral Fellows
Number of Vacancies
Work Hours/Week40
Proposed Annual Salary Range$50,000 – $60,000 salary is commensurate with experience and qualifications
Employee Benefits
Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, commitment todiversity, equity and inclusion (https://inclusiveexcellence.colostate.edu/about/) , and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.
Review our detailed benefits information here. (https://hr.colostate.edu/wp-content/uploads/sites/25/2021/01/benefits-summary-afap.pdf)
Explore the additional perks of working at CSU here.
For the total value of CSU benefits in addition to wages, use our compensation calculator (https://hr.colostate.edu/total-compensation-calculator/) .
Lastly, click here for more information about why Fort Collins is consistently ranked in the top cities to live in (https://hr.colostate.edu/prospective-employees/our-community/) !
Desired Start Date
Position End Date (if temporary)
To ensure full consideration, applications must be received by 11:59pm (MT) on06/24/2024
Description of Work Unit
Founded in 1870, Colorado State University is among the nation’s leading research universities and enrolls approximately 32,000 undergraduate, graduate, and professional students. Located an hour north of the Denver metro area, Fort Collins is a vibrant community of approximately 157,000 residents that offers the convenience of a small town with all the amenities of a large city. Fort Collins is situated on the Front Range of the Rocky Mountains with views of 14,000 foot peaks, and offers access to numerous cultural, recreational, and outdoor opportunities.
The Horticulture and Landscape Architecture department strives to discover, apply, and disseminate knowledge and technology while developing future leaders in the state, the nation, and the world. Through hands-on experiential learning in each of our three majors, Environmental Horticulture, Horticulture, and Landscape Architecture, we encourage human engagement with the landscape and demonstrate our focus to solve problems for people, agriculture, and the environment through scholarship and creativity fostered by teamwork and individual diversity.
Position Summary
The postdoctoral fellow will consult with the Department’s experts on existing cold hardiness prediction models in order to determine an efficient automation pipeline to incorporate all of the model’s inputs as well as the model’s engine. Currently, all model updates are performed manually and only 2-3 times per season due to the time-intensive nature of the data collection and model generation. The goal is to develop automation to select the right data available online (e.g., location-specific temperature from weather stations) and feed them to prediction models, which can then be run automatically at regular intervals. The position requires programming skills, extensive experience in automating data acquisition, formatting, and modeling pipelines, as well as coordination with both the Department’s food science experts and CSU’s IT, to create an application that runs seamlessly on the Minas Lab website.
Required Job Qualifications
Ph.D. in Computer Science, Engineering, Data Science/Analytics or a related field from an accredited institution.
Must have demonstrated significant accomplishments in the area of large-scale Data Analytics automation.
Preferred Job Qualifications
Previous experience with coordination of requirements from multiple groups to generate commonly acceptable automated reports.
Previous experience with advanced Data Science modeling.
Familiarity with fruit quality analyses and fruit biochemistry.
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.
Essential Duties
Job Duty CategoryResearch
Duty/Responsibility
Construct a fully automated Data Analytics platform related to cold hardiness predictive models.
Determine optimal design of a Data Analytics pipeline that incorporates automated extraction of data from multiple sources as well as implementation of existing Machine Learning predictive models.
This project will provide both horticulturalists and farmers with easily accessible and actionable information to improve scientific modeling and decision-making, respectively.
Percentage Of Time80
Job Duty CategoryRequirements Management
Duty/Responsibility
- There are different, and potentially conflicting, requirements from different groups (scientists, IT, farmers. Coordinate and reconcile the needs of all groups to generate a mutually acceptable Data Analytics platform.
Percentage Of Time20
Application Details
Special Instructions to Applicants
Applications will be accepted until the position is filled, but for full consideration, all materials must be received by (6/24/24). Applicants should upload the following:
A cover letter addressing your qualifications;
Resume; and
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 Chairioannis.minas@colostate.edu. For additional information about Colorado State University, consult the university’s website atwww.colostate.edu.
Conditions of EmploymentPre-employment Criminal Background Check (required for new hires)
Search ContactIoannis Minas, ioannis.minas@colostate.edu
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. TheOffice of Equal Opportunity (https://oeo.colostate.edu/) 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,titleix@colostate.edu.
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,oeo@colostate.edu.
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,oeo@colostate.edu.
Any person may report sex discrimination under Title IX to theOffice of Civil Rights, Department of Education (https://www2.ed.gov/about/offices/list/ocr/docs/howto.html) .
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 for the finalist before a final offer. 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.
References Requested
References Requested
Minimum Requested3
Maximum Requested3
Supplemental Questions
Required fields are indicated with an asterisk (*).
Applicant Documents
Required Documents
Cover Letter
Resume
Optional Documents
- Unofficial Transcripts