Developing a Python Spectral Analysis Package for Exoplanets Internship

The Space Science and Astrobiology Division at Ames Research Center enables space exploration through selected development, innovative technologies, and interdisciplinary scientific discovery in Astrophysics, (exo-)Planetary systems, and Exobiology research areas. We are looking for a Data Science intern to support NASA’s Exoplanetary research team to develop ML models to extract stellar/planetary information from observational/telescope data.+

Key Responsibilities:
• Develop a Python package to analyze spectral signals.
• Provide scientific analytics and insights directly to the project mentor and the team • Work closely with the project mentor and report/discuss the results

Qualifications:
• Expert in Python (e.g., Pandas, Seaborn, Numpy) and motivated to learn more
• Experience with developing Classes in Python
• Good understanding of regression metrics (MSE, RMSE, R2, etc.)
• Statistical Analysis • Background in computer science, science, or engineering is desirable.
• Excellent communication, collaboration, and interpersonal skills with a strong passion for working in the AI space exploration field.

Other Qualifications:
• Prioritize workloads and ensure deadlines are met
• Drive completion of action items and record and archive key findings and decisions
• Eager to learn new topics and take ML courses if needed

Preferred Major Biological Science – Biology; Computer and Information Sciences – Computer Science; Education – General; Engineering – Chemistry; Engineering – Computer; Mathematics; Physical Science – Astronomy and Astrophysics; Physical Science – Atmospheric Sciences and Meteorology; Physical Science – Chemistry; Physical Science – Geological and Earth Science/Geosciences; Physical Science – Physics

Academic Level Undergraduate Freshman; Undergraduate Sophomore; Undergraduate Junior; Undergraduate Senior; Graduate Master’s; Graduate Doctoral; Post Doctoral