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Posting Detail Information

Working TitlePostdoctoral AI Modeler

Position LocationFort Collins, CO

Work LocationPosition qualifies for hybrid/in-office work

Research Professional PositionYes

Posting Number202500619AP

Position TypeAdmin Professional/ Research Professional

Classification TitlePostdoctoral Fellows

Number of Vacancies

Work Hours/Week40

Proposed Annual Salary Range80,000 - 90,000

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, 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) on06/08/2025

Description of Work Unit

The Natural Resource Ecology Laboratory ( NREL ) is a research and teaching unit at Colorado State University with a mission “to ensure the sustainability of the Earth’s ecosystems through the generation and application of new knowledge.” The department’s interdisciplinary, ecosystem research promotes collaborations among disciplines and across fields of expertise at CSU and throughout the world. As a soft-money research unit, this role is critical to ensure adequate funding to sustain its vital role in the research community both locally and across the globe.

Position Summary

We are seeking a highly motivated postdoctoral researcher to join an innovative, interdisciplinary team at the intersection of artificial intelligence, ecosystem science, and agricultural research. This exciting position offers a unique opportunity to develop cutting-edge Knowledge Guided Machine Learning ( KGML ) methods for advancing our understanding of agroecosystem carbon and nitrogen dynamics.

We offer comprehensive interdisciplinary training, exposure to cutting-edge research methodologies, and a collaborative and supportive research environment.

Required Job Qualifications

+ Ph.D. in computer science or related field

+ Experience in applying machine learning models

Preferred Job Qualifications

+ Strong programming skills (e.g., Python)

+ Experience in developing machine learning models,

+ Advanced knowledge in modern AI approaches such as knowledge-guided machine learning.

+ Experience working with environmental or related data.

+ Experience with supercomputing clusters and/or cloud platforms.

Essential Duties

Job Duty CategoryResearch

Duty/Responsibility

+ Develop and apply knowledge guided machine learning algorithms

+ Evaluate the machine learning models with observational data at site to regional scales

+ Analyze and develop interpretation of results in collaboration with scientists and staff working on the project

Percentage Of Time80

Job Duty CategoryScientific Presentations and Manuscript Publication

Duty/Responsibility

+ Prepare presentations with scientists and staff working on the project, and present results at scientific conferences as funds allow for attendance

+ Prepare peer review journal manuscripts in collaboration with scientists and staff working on the project

Percentage Of Time15

Job Duty CategoryCommunications and Reporting

Duty/Responsibility

+ Communicate with supervisor about ongoing tasks and next steps on a regular basis

+ Attend and participate in project meetings

+ Communicate with other scientific staff about project tasks and coordinate effort as needed with them

+ Communicate with project partners as needed to ensure they have an opportunity for input and that products are meeting the needs for their components of the project

Percentage Of Time5

Application Details

Special Instructions to Applicants

Interested applicants must submit a cover letter which addresses how professional experiences align with identified required and preferred qualifications of the position, a current resume, and the names, e-mail addresses, and telephone numbers of three (3) professional references. CSU is committed to full inclusion of qualified individuals. If you are needing assistance or accommodations with the search process, please reach out to the listed search contact.

References will not be contacted without prior notification to candidates. Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution. If you have questions, please contact Yao Zhang at [email protected].

Conditions of EmploymentPre-employment Criminal Background Check (required for new hires)

Search [email protected]

EEO

Colorado State University ( CSU ) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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

+ Resume

+ Cover Letter

Optional Documents