School: Faculty of Arts and Sciences

Department/Area: Earth and Planetary Sciences

Position Description:

• Generative AI
• Agentic AI
• Graph Representation Learning and Modeling
• Foundation Models
• Large Language Models
• Multimodal Learning

Basic Qualifications:

• A Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or a closely related field.
• Demonstrated strong research skills, evidenced by high-quality publications in top-tier machine learning/AI conferences and/or leading scientific journals.
• Excellent programming skills and hands-on experience with leading machine learning frameworks (e.g., TensorFlow, PyTorch).
• Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure).

Additional Qualifications:

• Experience with multi-GPU model training and large-scale inference.
• Familiarity with modern AI environments and tools.
• Prior experience applying AI to seismology or related Earth science domains.

Contact Information:

Contact Email: cengber@fas.harvard.edu

Equal Opportunity Employer:

About Harvard University

Harvard University is devoted to excellence in teaching, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000 degree candidates, including undergraduate, graduate, and professional students. Harvard has more than 360,000 alumni around the world. The University has twelve degree-granting Schools in addition to the Radcliffe Institute for Advanced Study, offering a truly global education. Established in 1636, Harvard is the oldest institution of higher education in the United States.

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