MLIPs Multi-Fidelity Intern

Descripción del puesto:

Job Description

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 workflows
* Develop best practice guidelines for multi-fidelity MLIPs setup and inference
* Designing and implementing code for high-performance and high-throughput computing
Learning and development opportunities
Interns 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

Requerimientos del candidato/a:

Qualifications

Candidates must have:
* Current PhD candidate at a top university in chemical engineering, physics, chemistry, materials science, or a related field
* Minimum GPA of 3.0
* Experience in running atomistic-scale simulations via MLIPs as well as electron-based methods to train MLIPs
* Solid foundations in materials science, solid-state physics, and/or chemistry
* Attention to detail, flexibility, creativity, and excellent communication and teamwork skills
* A cover letter describing why the candidate is suited for the position
Desired qualifications:
* Significant research experience, including high-impact publications, patents, and/or contributions to open-source codes
* Strong background in physics and coding, and passion on working and understanding physics- and chemistry-based devices
* Proven ability to design research objectives, conduct independent research, and develop expertise in a specific field