Senior Research Analyst

University of Chicago•Chicago, IL

19h•Hybrid

About The Position

The AI for Climate Initiative, a joint initiative of the Data Science Institute and the Institute for Climate and Sustainable Growth, is seeking a Senior Research Analyst to lead and support the development, evaluation, and deployment of AI-based weather and climate models. The Senior Analyst will report to Professor Pedram Hassanzadeh, Faculty Director of AI for Climate. This role is integral to the research on training, running, and evaluating AI models; generating and analyzing datasets for model training and evaluation; and assessing model performance using process-level diagnostics to ensure predictions are physically consistent and representative of atmospheric processes. The ideal candidate is an experienced, self-motivated researcher with expertise in climate and weather science, as well as in the application of AI to weather and climate models. The successful candidate should be capable of leading research projects with moderate guidance, working across teams to enhance workflows from data preparation to final model outputs, contributing to collaborative research efforts, and translating and communicating technical developments to multiple audiences.

Requirements

Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

Nice To Haves

Master’s in Atmospheric Science, Computer Science, Applied Mathematics, Data Science, or a related discipline.
Experience developing AI-based weather and climate forecasting models.
Experience with model inference optimization and deployment in production or research environments.
Experience in working with large, high-dimensional model output to evaluate model behavior and evaluate physics consistency.
Experience in analyzing and visualizing large datasets, and interpreting model outputs.
Experience with high-performance computing (HPC) and working with big data.
Experience contributing to research publications or technical reports.
Experience collaborating in interdisciplinary or research-focused teams.
Experience working in interdisciplinary teams across institutions or domains.
Experience contributing to scientific publications or technical reports.
Experience with large-scale data processing and storage systems.
Familiarity and competency with programming languages, including Python and R.
Solid foundation in statistics, machine learning, and mathematics for model evaluation and interpretation in weather forecasting and climate engineering.
Knowledge of machine learning model lifecycle, including training, evaluation, and deployment.
Understanding of Unix-like environments, especially command-line interfaces.
Proficiency with HPC job management software, including SLURM and PBS.
Strong understanding of cloud computing platforms and infrastructure (AWS, Azure, Google Cloud, etc.)
Familiarity with data version control and collaboration tools such as Git/GitHub.
Excellent written and verbal communication skills.
Ability to work independently and collaboratively in a fast-paced environment.
Strong organizational and project management skills.
Competency using LaTeX for scientific documentation, reports, and presentations.

Responsibilities

Train and run AI weather and climate models.
Evaluate AI weather and climate models using process-level diagnostics to assess model performance and physical consistency.
Create and analyze datasets for training and evaluation of AI weather and climate models.
Document and communicate research results, and contribute to publications and other research outputs, including reports, manuscripts, and conference presentations, to present results at conferences and with partners.
Apply research principles and relevant subject matter knowledge to administer a research project.
With a moderate level of direction, manage lab and/or research-related duties and tasks.
Help develop, design, and conduct research projects according to plan.
Supports data collection and analytical needs of research projects. Conduct literature reviews and help write reports and manuscripts. Ensure project compliance with different policies, procedures, directives, and mandates.
Take responsibility for the following laboratory duties: recognizing abnormal results and varying conditions or procedures to correct problems; setting up and performing experiments; analyzing the meaning, significance, causes, and effects of the subject.
Performs other related work as needed.