Edtech.com's Summary

Purdue University is hiring a Graduate Student for its Rosen Center for Advanced Computing's Data Science and AI Services team to develop and support Purdue GenAI Studio, a generative AI platform for campus-wide academic use. The role involves designing modular AI tools, creating interactive dashboards, collaborating with faculty on AI solutions, and supporting grant-funded research projects.

Highlights

Design, develop, and maintain Purdue GenAI Studio platform.
Build modular applications and interactive dashboards using Streamlit or Gradio.
Support user documentation, onboarding, and training materials.
Collaborate with faculty and researchers to prototype generative AI solutions.
Provide technical assistance for grant proposals and related research projects.
Proficient in Python and libraries such as Pandas, NumPy, scikit-learn, and Transformers.
Experience or interest in generative AI, large language models (LLMs), and NLP.
Preferred familiarity with Hugging Face Transformers, OpenAI APIs, Docker, and cloud environments.
Must be an enrolled Purdue graduate student in fields like Computer Science, CNIT, or Statistics.
Work up to 20 hours per week during the semester and 40 hours in summer with compensation aligned to Purdue's graduate student guidelines.

Graduate Administrative/Professional Full Description

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). It will also involve active participation in grant-funded AI and data science projects, supporting proposal development, implementation, and reporting across multiple research initiatives at Purdue.

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 and analytical support for grant projects and proposals related to AI and data science.
Contribute to cross-functional initiatives that promote the integration of AI tools across the Purdue research ecosystem.

Learning Opportunities

This position provides a dynamic and collaborative environment for exploring real-world applications of generative AI in academia. You’ll gain hands-on experience with production-level AI systems, interface design, interdisciplinary collaboration, and grant development workflows. The role also provides opportunities to co-author or contribute to research publications emerging from Purdue’s AI initiatives.

Education

Skills Required

Strong foundation in data science, including statistics, modeling, and data analysis.
Proficiency in Python and experience with common libraries such as Pandas, NumPy, scikit-learn, and Transformers.
Interest or experience in generative AI, LLMs, or natural language processing (NLP).
Experience with building web-based tools (e.g., using Streamlit, Gradio, or Flask).
Excellent problem-solving and communication skills, with the ability to work collaboratively.

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, grants, or collaborative projects.
Enrollment as a graduate student at Purdue University in Computer Science, CNIT, Statistics, or a related field.

Eligibility

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.

Compensation and Time Commitment

Up to 20 hours per week during the academic semester
Up to 40 hours per week during summer
Possibility of extension into the following semester
Compensation is aligned with Purdue’s graduate student employment guidelines

FLSA Status

Non-Exempt

Original Job Description

Job Summary

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 and analytical support for grant projects and proposals related to AI and data science.
Contribute to cross-functional initiatives that promote the integration of AI tools across the Purdue research ecosystem.

Learning Opportunities

Education

Skills Required

Strong foundation in data science, including statistics, modeling, and data analysis.
Proficiency in Python and experience with common libraries such as Pandas, NumPy, scikit-learn, and Transformers.
Interest or experience in generative AI, LLMs, or natural language processing (NLP).
Experience with building web-based tools (e.g., using Streamlit, Gradio, or Flask).
Excellent problem-solving and communication skills, with the ability to work collaboratively.

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, grants, or collaborative projects.
Enrollment as a graduate student at Purdue University in Computer Science, CNIT, Statistics, or a related field.

Eligibility

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.

Compensation and Time Commitment

Up to 20 hours per week during the academic semester
Up to 40 hours per week during summer
Possibility of extension into the following semester
Compensation is aligned with Purdue’s graduate student employment guidelines

FLSA Status

Non-Exempt

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