Summer Research Assistant - School of Computer Science - S3D

Summer Research Assistant - School of Computer Science - S3D

Company: Carnegie Mellon University

Job Location: Pittsburgh, 15213

Category: Laboratory and Research

Type: Full-Time

Carnegie Mellon University is a private, global research university that stands among the world's most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn't imagine the future, we invent it. If you're passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

The Software and Societal Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems, and society to understand how computational technologies might better serve humanity. We are studying the bigger picture of computing in context in order to develop tools, policies, methods, and much more - all in the name of making the world a safer, more equitable, better place to call home.

S3D is seeking a Summer Research Assistant to contribute to interdisciplinary research on the impact of artificial intelligence on scientific innovation, with a focus on understanding how AI reshapes knowledge production, collaboration, and discovery processes through large-scale data analysis and computational methods.

Core Responsibilities

• Support research on the impact of AI on scientific innovation
• Analyze large-scale datasets (e.g., publications, software, and scientific artifacts)
• Develop and apply data analysis workflows in Python
• Conduct citation analysis of innovation and collaboration patterns
• Assist with machine learning and/or LLM-based analysis
• Participate in mentoring junior researchers in large-scale data analysis and publication

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

Qualifications:

• Bachelor's degree in computer science or relevant field required. Master's degree preferred.
• Strong Python/data analysis skills
• Experience with large-scale data and computational research, especially in citation network analysis
• Familiarity with machine learning models and large language models
• Successful research publication and mentoring experience
• A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.

Requirements:

• Successful completion of a pre-employment background check

Location Pittsburgh, PA

Job Function Researchers

Position Type Staff - Fixed Term (Fixed Term)

Full Time/Part time Full time

Pay Basis Hourly

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