Research Assistant - School of Computer Science - CSD

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 Computer Science Department (CSD) is one of the seven academic departments in the Carnegie Mellon School of Computer Science (SCS). Our environment is demanding and fast-paced, but it's also innovative, flexible, and highly collaborative. Computer Science at Carnegie Mellon is also distinctive for our research style, educational programs, commitment to diversity, culture and organizational structure.

CSD is seeking a Research Assistant to work with research projects pertaining to software development for CMU CS Academy. The main project is to reimplement Desktop CMU Graphics using Rust so that it is easier for users to install and easier for CS Academy to maintain. This role will also be responsible for additional testing and bug fixing work as needed.

Core Responsibilities

• Works with project PI to collect, record and assess research data.
• May write and test code according to project specifications.
• Assesses data and analyzes results.
• Attends meetings and participates in various seminars/training classes as needed.
• Prepares reports and other dissemination and outreach materials
• Other duties as required.

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:

• High School Diploma required. Bachelor's Degree preferred.
• Previous research experience preferred.
• 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