Core Responsibilities

The successful hire will be able to perform the following functions and have the following mix of experience and skills:

• Conduct targeted literature reviews of climate and hydrology literature in the US, drawing on previous experience conducting literature review and synthesis reports
• Familiarity with climate models and interpreting model outputs
• Core understanding of observed and projected climate variables: precipitation, temperature, sea level, flooding, streamflow, snowpack, droughts, wildfires, and extreme seasonal and temporal and spatial variation in these variables
• Collect data from various sources, e.g., webscraping and APIs and perform data management tasks (data wrangling, cleaning, etc.)
• Experience with generative AI, natural language processing (NLP), and/or machine learning methods, such as logistic regression, random forest, and neural nets.
• Strong programming skills in Python or R.
• Strong writing, presentation, and interpersonal communication skills.

Desired Qualifications:

• PhD focused on climate observations and projections with focus on hydrology and the water cycle across the US
• 5+ years of technical and professional level writing
• Published climate science manuscripts
• Reviewer of climate science publications

Minimum Qualifications

Masters in climate science focused degree with 0 years of experience OR the equivalent combination of education and experience.