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 Research Assistant to support a research project on privacy-preserving machine learning and synthetic data. The position will involve implementing and evaluating machine learning methods, conducting computational experiments, analyzing results, and contributing to research prototypes and documentation. Core ResponsibilitiesSupport research on privacy-preserving machine learning and synthetic data.Collaborate with the faculty supervisor and research team on implementation, experimentation, and research documentation.Analyze experimental results and summarize research findings.Review relevant research literature and contribute to the development of new research ideas and methods. 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
