Postdoctoral Research Associate I

at  University of Arizona

KNOWLEDGE, SKILLS, AND ABILITIES:

• Strong understanding of the global carbon cycle and the interactions between land and climate systems.
• Proficiency in computational programming (e.g., Fortran, python) in HPC environments, with skills in data-model integration and ESM improvement and application
• Strong proficiency in AI technology, with skills in applying AI methods for model optimization and uncertainty reduction.
• Ability to communicate scientific findings effectively through publications and presentations.
• Ability to work effectively in a multidisciplinary team environment.
• Basic knowledge of soil microorganisms, bioinformatics, or soil sciences is considered a plus.

MINIMUM QUALIFICATIONS

• A PhD in Atmospheric Sciences, Hydrology, Earth System Science, Computer Science, Data Science, or a closely related field upon hire.

PREFERRED QUALIFICATIONS

• Applicants with strong AI backgrounds are strongly preferred.
• Proven experience in improving or applying any Earth System Models (ESMs) or related computational models, particularly in the context of carbon cycle modeling or climate feedback mechanisms. Candidates with a strong focus on AI applications in these areas will be given priority.
• Experience in conducting interdisciplinary research projects, with the ability to bridge gaps between different scientific disciplines.
• A strong track record of peer-reviewed publications relevant to job responsibilities.

DIVERSITY STATEMENT

At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As a Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.

DUTIES AND RESPONSIBILITIES:

• Analyze and integrate multiscale datasets for E3SM parameterization and evaluation.
• Apply artificial intelligence (AI) techniques for E3SM parameter optimization.
• Develop and implement a hybrid model (AI-ESM) framework to quantify and reduce uncertainties in simulating soil carbon-climate feedback.
• Execute coupled E3SM simulations to evaluate soil carbon-climate feedback mechanisms.