AI-CLIMATE Postdoctoral Researcher, Colorado State University
The Ecosystem Science and Sustainability department is closely associated with the Natural Resource Ecology Laboratory. We are recognized for interdisciplinary research in ecosystem function and ecosystem sustainability, such as sustainability of water, food, and energy systems from technological, social-ecological, and modeling perspectives. ESS faculty whose research lies at the interface of biophysical and social sciences have created open and flexible research and education programs with issues of sustainability as the core focus.
The Department offers a B.S. in Ecosystem Science and Sustainability and a B.S. Watershed Science as well as an M.S. in Watershed Science and a Masters in Greenhouse Gas Management and Accounting. Faculty members may also direct graduate students in the interdisciplinary Graduate Degree Program in Ecology and the Watershed concentration of the Earth Science PhD. The Department has in excess of 300 undergraduate students and 75 graduate students.
The mission of the Department of Ecosystem Science and Sustainability at Colorado State University is to understand the function of ecosystems and watersheds across space and over time. We assess ecosystem sustainability by examining interactions within and between natural and human systems in the context of current stresses such as changing climate, species introductions, land-use change, and increased demand for water. The department will use state of the art technologies and approaches to provide quality education to future scientists, educators and decision makers, conduct cutting edge interdisciplinary research, and deliver culturally relevant outreach programs that empower our students and the general public locally, nationally, and internationally.
The Postdoctoral Researcher will work with the supervisor to analyze climate risks to agriculture using a range of AI methods as part of the AI-CLIMATE Institute. Key objectives for this position include implementing and evaluating of machine learning models that connect climate hazards to agricultural productivity, assessing system vulnerability to hazards, evaluating model performance under a variety of data-availability conditions, developing independent research questions, preparing and publishing high-impact journal articles, and developing mentoring/teaching skills related to these scientific topics and methods.
- Researching agricultural climate risks through AI-based analyses of large spatio-temporal crop, hydrologic, and climate datasets.
- Publishing high-impact analyses in the scientific literature.
- Supervising graduate and undergraduate students as needed to promote a collaborative lab research environment.
- The post-doc will assist in delivering data science and agriculture courses with the potential to develop and deliver their own.
- PhD or PhD by Spring 2024 in earth science, ecology, agriculture, atmospheric science, data science, computer science, or related field.
- Command of a relevant scientific programming language (e.g., R, Python, or Matlab) and version control with git
- Expertise with geospatial analysis of climate and agricultural datasets (e.g., CMIP, PRISM, FAOSTAT, USDA NASS, etc.)
- Working knowledge within the field of machine learning
- Working knowledge of agriculture-climate interactions
- Demonstrated ability to publish in high impact journals
Applicants must meet the minimum qualifications in the announcement to be considered for hire. Apply no later than January 15th, 2024 for full consideration. Mailed or emailed applications will not be accepted.
Upload each of the items below individually as a Word Document (.doc), PDF (.pdf), or Rich Text Format (.rtf). Please note that incomplete applications cannot be considered. Please remove social security numbers and birth dates from application materials. A complete application consists of:
- Statement of Qualifications (one-page letter addressing each qualification described in the announcement) uploaded in the ‘Cover Letter’ slot.
- Transcripts (for each degree earned that is listed under qualifications) uploaded in the ‘Official Transcripts’ or ‘Unofficial Transcripts’ slot.
- Degree Conferral (copy of diploma if transcripts do not include confirmation that degree was awarded) uploaded in the ‘Other’ slot.
- References – please include within your application contact information for 3 professional references including at least one supervisor. References will not be contacted without prior notification to candidates.
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.