Founded a decade before NASA, the Laboratory for Atmospheric and Space Physics (LASP) at the University of Colorado Boulder is revolutionizing human understanding of the cosmos. LASP is deeply committed to inspiring and educating the next generation of space explorers. From enabling the first exploratory rocket measurements of Earth’s upper atmosphere to trailblazing observations of every planet in the solar system, LASP is at the forefront of solar, planetary and space physics research, space-weather monitoring, and the search for evidence of habitable worlds.

LASP advances scientific discovery and inspires the next generation through research, innovation, and education in space sciences. We employ over 700 scientists, engineers, support personnel, and students that work closely to cultivate creative ideas and explore novel solutions to make the impossible possible.

LASP is dedicated to building and maintaining a unique synergism of expertise in space science, engineering, and spacecraft operations. Through research projects, LASP participates actively in the training of the future leaders of space research and helps the University of Colorado to educate students with valued technical and scientific skills. Development and use of innovative technologies and continuing participation in new research initiatives ensures a strong leadership role for LASP into the future. LASP is proud of our work environment that supports employee creativity and productivity and offers opportunities for a broad range of experiences. Further information about LASP can be found here: https://lasp.colorado.edu/home/.

• This position will be responsible for gathering, organizing, and analyzing Juno Mission data related to Jupiter’s magnetosphere. Key responsibilities include:
• Reviewing and analyzing Juno-JADE data to determine the times and locations of Bow Shock and Magnetopause crossings.
• Creating and maintaining a structured database of identified boundary crossings that may be made publicly available for future scientific use.
• Using Python or similar programming tools to process, analyze, and organize spacecraft data.
• Documenting analysis methods, assumptions, and findings in a clear and reproducible manner.
• Assisting with the preparation of figures, tables, and written descriptions for inclusion in a scientific manuscript.
• Contributing to the development of a publishable paper based on the research findings.
• Working with the supervising researcher to refine data products, verify results, and support final publication preparation.

• This is a part-time, short-term position intended to support the completion of an existing research project and the preparation of a scientific paper.
• The work will involve scientific data analysis using Juno Mission data and may require independent work, careful documentation, and regular communication with the supervising researcher.
• Experience with Juno-JADE data is highly relevant to the role. The successful candidate should be comfortable working with scientific datasets, programming tools, and research documentation.
• Depending on the nature of the data access and project requirements, the employee may need to follow applicable university, LASP, NASA, or project-specific data handling and publication guidelines.

$30 - $40 per hour.

• Bachelor’s degree or equivalent experience in physics, astronomy, astrophysics, planetary science, space physics, engineering, or a closely related field.
• Experience using Python for scientific data analysis.
• Experience working with Juno-JADE data or closely related spacecraft/space physics datasets.
• Experience conducting independent research or contributing to a scientific research project.
• Ability to analyze scientific data and interpret results in the context of planetary magnetospheres, space plasma physics, or a related field.
• Strong written communication skills, including the ability to contribute to technical or scientific writing.

• Strong Python programming skills for data analysis, data organization, and/or visualization.
• Ability to work with large or complex scientific datasets.
• Attention to detail when identifying and documenting spacecraft boundary crossings.
• Ability to organize data in a clear, consistent, and reproducible format.
• Ability to communicate scientific findings clearly in writing.
• Ability to work independently while incorporating feedback from a supervising researcher.
• Strong time management skills and the ability to complete work on a short-term project timeline.
• Familiarity with scientific research methods, manuscript preparation, and publication standards.