Positions: Climate Science Intern
Location: Remote/ San Francisco, CA
Innovation Area: Generation and Conversion
Storage, Transmission and Management
Position Type: TomKat Center-supported
Internship Term: 8 weeks
ClimateAI is a small company founded at Stanford University working on quantifying physical risks from climate change. We deliver climate science results to businesses to allow them to make better decisions around climate change. We have an opening for a researcher to work at the intersection of the fields of climate modeling, regional impacts of climate change, and machine learning.
The ideal candidate will be comfortable working on open ended projects with a small team in a fast paced environment. We hire people who are collaborative, adaptable and communicate well. You will be working closely with data scientists, software engineers, and product managers to deploy modeling results. Expect to give and receive constructive criticism as we are constantly reevaluating our hypotheses and our products.
Who Should Apply
First and foremost, you align with the mission to inform and change business decision making process around the world by creating tools to incorporate climate science in the decision process. We are looking for smart individuals, as a startup we have a thousand items on our to-do list and want a rapid learner who can have immediate impact.
Required – Data Science and Climate Science coursework
Nice to haves –
- Experience working with physical numerical models, especially Earth System Models
- Experience applying machine learning algorithms to physical datasets is also strongly desired.
- Coding experience, our web framework and data processing are done in Python, our machine learning pipelines are built with Sklearn and Keras/TensorFlow.
- Experience in statistics
- Engineering Majors
- Data Science
- Mathematics and Statistics majors