The group welcomes undergraduate research assistants who are interested in exploring interdisciplinary topics (e.g., data science, energy, and insurance). No research background in atmospheric sciences is necessary, but we expect candidates to have solid skills in Python programming.
Successful candidates for this group usually have solid academic backgrounds in physical and computational sciences. Our group has no recruitment plan to recruit graduate students starting Fall 2026. We recommend motivated applicants consider other faculty in the department.
We also welcome potential post-doctoral scholars who are looking for a sponsor for applying for the following postdoctoral fellowships:
The group has an operation guide that outlines expectations for mentors and mentees. Interested applicants can ask for a copy as a reference.
Reading and Podcast recommendations:
- Eloquent Science: A Practical Guide to Becoming a Better Writer, Speaker, & Atmospheric Scientist, David Schultz
- You and Your Research, Richard Hamming
- The Worlds I See: Curiosity, Exploration, and Discovery at the Dawn of AI, Fei-Fei Li
- Deep Convection, Adam Sobel
We mainly use Python and encourage using Version Control. Work knowledge with common packages like Xarray/Pandas/Numpy and Sckit-Learn/PyTorch is preferred.
“For my part I know nothing with any certainty, but the sight of the stars makes me dream.”
Vincent Van Gogh