Postdoctoral Seismic Foundational Models: Harvard University is seeking highly motivated Postdoctoral Research Fellows to join a dynamic research team at the intersection of generative AI, multimodal learning, and Earth sciences. This is an exceptional opportunity to contribute to groundbreaking research and push the boundaries of AI in Earth science applications.
Postdoctoral Research Fellows in Generative, Multimodal AI, and Seismic Foundational Models
Designation
Postdoctoral Research Fellow
| Field | Details |
|---|---|
| Research Area | Generative AI, Multimodal Learning, Seismology |
| Location | Harvard University, Cambridge, MA |
| Eligibility/Qualification | Ph.D. or equivalent degree in Machine Learning, Computer Science, Electrical Engineering, Geophysics, Applied Mathematics, or closely related field. |
| Job Description | Develop and apply innovative data-driven models for seismology with a focus on cutting-edge foundation models. |
Job Description
The selected candidates will lead research initiatives involving the development of innovative, data-driven models tailored for seismology. The position emphasizes groundbreaking work in generative AI and related areas, aiming to achieve significant scientific discoveries in Earth sciences.
Key Responsibilities:
- Develop and apply foundation models in the context of seismology.
- Collaborate with a research team at the Faculty of Arts and Sciences.
- Conduct research that integrates generative AI and multimodal learning.
Basic Qualifications:
- A Ph.D. or equivalent degree in relevant fields.
- Strong research skills demonstrated through high-quality publications.
- Excellent programming skills and proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch).
- Experience with cloud computing platforms (AWS, GCP, Azure).
Additional Qualifications:
- Experience with multi-GPU model training and large-scale inference.
- Familiarity with modern AI tools and environments.
- Prior experience in applying AI to seismology or related Earth science domains.
How to Apply
To apply for this position, please submit the following documents:
- Curriculum Vitae: Include links to your academic webpage and GitHub repositories showcasing your work.
- Research Statement: (1-2 pages) detailing prior research experience and proposed research plan.
- Representative Publications: Provide three relevant publications (preprints are welcome).
- List of References: Include contact information for three individuals who can provide letters of recommendation.
Submit your application materials at the earliest to ensure consideration.
Last Date to Apply
The position is available immediately, and applications are being reviewed on a rolling basis. Candidates are encouraged to submit their applications as soon as possible.
For further details, please contact:
Corinne Engber
20 Oxford St.,
Cambridge, MA 02138
Email: cengber@fas.harvard.edu
