MLIPs Multi-Fidelity Intern

We are seeking a highly motivated and skilled intern for a 1.5 year (until Dec 2027) internship in our Computational Materials Science team. The intern will focus on MLIP multi-fidelity frameworks, workflows, review literature, and prepare presentations of results for project team meetings. Key responsibilities:Development and application of multi-fidelity MLIP frameworks and workflowsDevelop best practice guidelines for multi-fidelity MLIPs setup and inferenceDesigning and implementing code for high-performance and high-throughput computingLearning and development opportunitiesInterns gain hands-on experience in industry research alongside experienced engineers and fellow interns. Past interns often complete one or more patents, software packages, or publications, as well as develop valuable skills in their careers. Approximately half of associates on our team are former interns, demonstrating a potential for long-term growth and opportunities.