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Postdoctoral research fellows in generative, multimodal AI, and seismic foundational modelsHarvard University

  • not-remote
  • full-time
  • Salary
  • Cambridge, MA
Job Summary
Harvard University



Position
Details

TitlePostdoctoral research fellows in generative, multimodal AI, and seismic foundational models
SchoolFaculty of Arts and Sciences
Department/AreaEarth and Planetary Sciences
Position Description
Join our dynamic research team at Harvard University and spearhead groundbreaking research at the intersection of generative AI, multimodal learning, and Earth sciences. We are seeking a highly motivated Postdoctoral Research Fellow to develop and apply innovative, data-driven models for seismology, with a focus on developing cutting-edge foundation models. This is an exceptional opportunity to contribute to significant scientific discoveries and push the boundaries of AI in Earth science applications.

We are looking for passionate and driven individuals with expertise in one or more of the following areas:
  • Generative AI
  • Agentic AI
  • Graph Representation Learning and Modeling
  • Foundation Models
  • Large Language Models
  • Multimodal Learning
  • Forecasting Models

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.

Special Instructions
Contact Information
Corinne Engber
20 Oxford St.
Cambridge, MA 02138
Contact Emailcengber@fas.harvard.edu
Salary Range
Pay offered to the selected candidate is dependent on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field.
Minimum Number of References Required3
Maximum Number of References Allowed3
Keywords
EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes.

Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

    Applicant Documents
    Required Documents
    1. Curriculum Vitae
    2. Statement of Research
    3. Publication
    4. Publication 2
    5. Publication 3
    6. List of References
    Optional Documents




      Equal employment opportunity, including veterans and individuals with disabilities.

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