Graduate Assistant Data Scientist
Purdue University Online
Date: 5 days ago
City: West Lafayette, Indiana
Contract type: Intern
Job Description
Job Summary
Job Summary
The student in this position will join Purdue’s Rosen Center for Advanced Computing (RCAC) as part of the Data Science and AI Services team, contributing directly to the development and growth of Purdue GenAI Studio—a campus-wide platform that enables faculty, researchers, and students to explore and apply generative AI in teaching, research, and innovation.
This role offers hands-on experience with applied data science, generative AI tools, and large language models (LLMs), and may also involve supporting grant-funded initiatives related to AI and data science across the university.
Responsibilities
Preferred Qualifications
This position provides a dynamic and collaborative environment for exploring real-world applications of generative AI in academia. You’ll gain experience working on production-level AI systems, interface design, interdisciplinary collaboration, and potentially assist in shaping and supporting research grants in the AI/data science space.
Eligibility Requirements
0
FLSA Status
Non-Exempt
Job Summary
Job Summary
The student in this position will join Purdue’s Rosen Center for Advanced Computing (RCAC) as part of the Data Science and AI Services team, contributing directly to the development and growth of Purdue GenAI Studio—a campus-wide platform that enables faculty, researchers, and students to explore and apply generative AI in teaching, research, and innovation.
This role offers hands-on experience with applied data science, generative AI tools, and large language models (LLMs), and may also involve supporting grant-funded initiatives related to AI and data science across the university.
Responsibilities
- Contribute to the design, development, and maintenance of Purdue GenAI Studio, enhancing its functionality, scalability, and usability.
- Assist in building modular tools and applications within GenAI Studio for research, education, and administrative use cases.
- Develop interactive dashboards and interfaces using platforms such as Streamlit or Gradio.
- Support documentation efforts, user onboarding, and internal training materials for Purdue stakeholders.
- Collaborate with faculty and researchers to prototype generative AI solutions aligned with academic needs.
- Provide technical assistance on grant projects or proposals related to AI and data science, as needed.
Preferred Qualifications
- Familiarity with Hugging Face Transformers, Ollama, OpenAI APIs, or similar LLM ecosystems.
- Exposure to containerization (e.g., Docker) or cloud-native environments is a plus.
- Experience supporting academic research or working on grant-funded projects.
- Enrollment as a graduate student at Purdue University in Computer Science, CNIT, Statistics, or a related field.
This position provides a dynamic and collaborative environment for exploring real-world applications of generative AI in academia. You’ll gain experience working on production-level AI systems, interface design, interdisciplinary collaboration, and potentially assist in shaping and supporting research grants in the AI/data science space.
Eligibility Requirements
- Must be a currently enrolled graduate student at Purdue University.
- Hybrid work arrangements are possible, though some on-campus presence in West Lafayette may be expected.
- Up to 20 hours per week during the academic semester
- Up to 40 hours per week during summer
- Possibility of extension into the Fall semester
- Compensation is aligned with Purdue’s graduate student employment guidelines
0
FLSA Status
Non-Exempt
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