Atmospheric & Climate Science Intern

About the Role

The Atmospheric & Climate Science Intern will support research and analysis related to atmospheric processes, climate variability, and air quality within VARAHI’s human survival and environmental resilience initiatives. This remote internship role involves collecting and processing meteorological and atmospheric datasets, assisting in model development and validation, and preparing concise reports, visualizations, and summaries for internal research teams. The intern will collaborate with scientists and engineers to investigate climate risks, evaluate environmental stressors in extreme geographies, and contribute to protocol design for resilient, autonomous systems. Day-to-day tasks may include literature reviews, data cleaning, basic statistical analysis, and documentation of research procedures to ensure reproducibility and knowledge transfer. This is an internship role designed to provide hands-on experience in applied atmospheric and climate science in a deep-tech research environment.

Key Responsibilities

• Collecting and processing meteorological and atmospheric datasets.
• Assisting in model development and validation.
• Preparing concise reports, visualizations, and summaries for internal research teams.
• Investigating climate risks.
• Evaluating environmental stressors in extreme geographies.
• Contributing to protocol design for resilient, autonomous systems.
• Performing literature reviews.
• Data cleaning.
• Basic statistical analysis.
• Documenting research procedures to ensure reproducibility and knowledge transfer.

Requirements & Tech Stack

• Atmospheric Science and Meteorology skills for understanding weather systems, climate dynamics, and environmental processes.
• Physics skills for interpreting fundamental scientific principles underlying atmospheric and climate phenomena.
• Air Quality skills for assessing pollutants, exposure risks, and environmental health impacts.
• Research skills, including literature review, data collection, and basic quantitative analysis.
• Ability to work independently in a remote setting.
• Ability to manage time effectively.
• Ability to communicate clearly in written and spoken English.
• Familiarity with data analysis tools (e.g., Python, R, or MATLAB) is highly beneficial.
• Familiarity with basic statistics is highly beneficial.
• Interest in applied resilience engineering, extreme environments, and interdisciplinary collaboration across science and technology domains.

Qualifications

• Enrollment in or completion of a degree in Atmospheric Science, Climate Science, Environmental Science, Physics, or a related field.