Research Associate - School of Computer Science - MLD

Carnegie Mellon University•Pittsburgh, PA

About The Position

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 Machine Learning Department (MLD) at Carnegie Mellon University is a leading hub for research and education in artificial intelligence and machine learning. It focuses on developing innovative algorithms and models to address complex problems in diverse fields such as robotics, healthcare, and finance. The department offers a range of undergraduate and graduate programs, fostering a collaborative environment that bridges theoretical research and practical applications. Faculty and students frequently collaborate with industry and other academic disciplines to push the boundaries of what is possible with machine learning. MLD is seeking a Research Associate to contribute to neuroscience and AI research aimed at reverse-engineering animal brain function to inform the design of intelligent agents. This role involves analyzing neural data, developing machine learning models, and running experiments to uncover how biological neural circuits solve sensory-motor tasks. 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.

Requirements

Bachelor’s Degree required.
Solid understanding of machine learning fundamentals.
Strong communication, problem-solving and reasoning skills.
Strong programming skills in Python.
A combination of education and proven experience from which comparable knowledge is demonstrated may be considered.
Successful background check

Nice To Haves

Master’s Degree preferred.

Responsibilities

Analyze neural datasets using Python and standard scientific libraries (e.g., NumPy, SciPy, Matplotlib).
Develop and evaluate machine learning models to predict neural activity and behavior.
Assist with preprocessing, organizing, and maintaining large-scale neuroscience data.
Conduct literature reviews and summarize relevant computational neuroscience or AI papers.
Communicate results through figures, presentations, and written summaries