AstroBibPile Paid Student Internship

Posted by J Barnes-Mitchell on

The Astrophysics Data System invites motivated undergraduate and graduate students to participate in an internship focused on creating a pioneering open dataset to support AI-enabled bibliography curation efforts in astronomy and related fields. This paid internship provides students with practical experience in bibliographic curation, artificial intelligence, and open science while fostering hands-on learning and professional growth.

About AstroBibPile
AstroBibPile is a collaborative initiative to develop an open dataset for curating bibliographies in astronomy, heliophysics, and planetary science. The dataset will be the basis for future efforts to leverage Natural Language Processing (NLP) and Artificial Intelligence (AI)  techniques to speed and enhance bibliography creation and curation. Ultimately, AstroBibPile will facilitate reproducibility and scalability in bibliography curation while supporting interdisciplinary research efforts.

Internship Highlights
Selected interns will engage in a variety of activities, including:

  • Assisting in the initial development and enrichment of the AstroBibPile dataset, integrating data and metadata from multiple sources.
  • Participating in collaborative projects with leading experts, including observatory bibliographers, data scientists, and researchers.
  • Exploring career pathways in the fields of library science, AI, and open science through mentorship and professional development opportunities.

Logistics

  • Opportunities available remotely.
  • Interns are expected to commit to 135 hours over the semester.
  • Flexible scheduling options will be coordinated between students and mentors.
  • $22/hour for 135 hours

Qualifications

  • Enrollment in an undergraduate or graduate program with a focus on library science, astronomy, computer science, data science, or a related field.
  • Interest in bibliographic curation, AI, or open science.
  • Familiarity with programming languages (e.g., Python) and data formats (e.g., JSON, XML) is a plus but not required.

How to Apply
Interested students should submit a brief statement of interest and resume to gstahlman@fsu.edu. Applications will be accepted until December 13, 2024.

For additional information about AstroBibPile, visit The AstroBibPile: Building a Dataset to Support AI-enabled Bibliography Curation efforts.pptx

For additional information about the Astrophysics Data System, visit https://ui.adsabs.harvard.edu/.