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 Laboratory of Computational Invention (LOCI) is led by PI Andrew Spielberg and was established at Carnegie Mellon University in the ECE Department in Fall 2025. Our mission is to develop methods that enable people to design, build, and deploy complex systems directly from high-level specifications— especially when doing so manually would be difficult, time-consuming, or expensive. Research applications span virtual systems (e.g., game environments), physical systems (e.g., structures), and cyber-physical systems (e.g., robots and assistive devices). The Laboratory of Computational Invention (LOCI) is building systems that help novices and experts create virtual or physical objects that are difficult to design or fabricate by hand. We are seeking paid research interns for Summer 2026 (~12-14 weeks). We’re a full-stack, interdisciplinary group working across modeling, simulation, computational design, digital fabrication, human-centered tools, and robotics. The internship will be in-person, in Pittsburgh. Project topics are flexible, but will be centered around the lab's themes, and focus on one of the following tracks: Research tracks: Simulation and systems for simulation: Physical simulation, computer graphics, numerical optimization, compilers, programming languages, and program synthesis Manufacturing methods and applications: Mechanical design and digital fabrication (3D printing, textiles), mechanisms, materials, biohybrid systems Rapid fabrication / process innovation: Developing new manufacturing processes and fabrication pipelines Design for deployment (robotics): Contact-rich control, sim-to-real methods, manipulation GenAI for design: Generative models (training big or small models), agentic systems for design and making Design experiences: HCI and interactive systems, including video game development as a medium for design tools/experiences 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.
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Job Type
Full-time
Career Level
Intern