Ecological Modeler – Data Analyst Opportunity

The University of California is hiring an Ecological Modeler – Data Analyst in Irvine, CA. The role involves developing predictive models for ecosystem responses to climate change, analyzing large datasets, and collaborating with a research team. Candidates should have a doctoral degree in ecology or a related field, strong programming skills in Python, R, or MATLAB, and a solid publication record. This is a full-time position.
We are seeking a highly motivated ecological modeler to join our research team focused on understanding the impacts of climate change on ecosystems and the carbon cycle.

The successful candidate will have a strong background in ecological modeling, data analysis, and computational methods. They will work closely with the research team to develop and apply models to predict ecosystem responses to environmental change.
• Design, implement, and validate predictive models that incorporate microbial processes and interactions.
• Collaborate with the research team to collect, process, and analyze large datasets on ecosystem processes and microbial traits.
• Contribute to the development of data-driven frameworks for predicting ecosystem responses to environmental change.
• Publish research findings in top-tier scientific journals and present results at international conferences.
• A doctoral degree in a relevant field, such as ecology, evolutionary biology, or a related discipline.
• Excellent programming skills in languages like Python, R, or MATLAB.
• A strong publication record and demonstrated ability to communicate complex research findings effectively.