Postdoctoral Research Associate in Generative AI for the Rubin Observatory

Harvard University, United States

Updated: 3 months ago
Location: Cambridge, MASSACHUSETTS
Deadline: ;

Details


Title Postdoctoral Research Associate in Generative AI for the Rubin Observatory
School Faculty of Arts and Sciences
Department/Area Physics
Position Description
We are excited to announce an opportunity for one or more Postdoctoral Research Associates to pioneer the integration of Generative AI (GAI) in both the operational framework and data analysis strategies of the Rubin Observatory. This role involves innovative applications of GAI, which may include optimizing observational schedules, augmenting real-time observatory operations, and enabling sophisticated natural-language inquiries within the Rubin database.
We invite candidates who are passionate about merging cutting-edge generative AI tools with the most advanced astronomical survey project to date. Join us in this groundbreaking endeavor.
Key Qualifications:

· Proficiency in applying Generative AI at an API level.
· Practical knowledge of interface tools such as LangChain.
· Experience in astronomical image analysis and exploitation.
Our Focus: We aim to explore and enhance the application of large language
models specific to the Rubin Observatory’s context. This position is distinct
from roles focusing on the development or application of machine learning
techniques for astronomical data analysis. Our goal is to expand the horizon of
large language models in the era of the Rubin Observatory.
To apply, please submit:
  • Curriculum Vitae
  • 3 Letters of recommendation
  • Research Statement describing why working with the Stubbs group would be a good match to their experience, interests, and long-term goals. The Research Statement should not exceed three pages.
Basic Qualifications
Candidates for this position must have completed their Ph.D. degree by the appointment start date.
Additional Qualifications
Special Instructions
Contact Information
Christopher Stubbs
Contact Email [email protected]
Equal Opportunity Employer
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.
Minimum Number of References Required 3
Maximum Number of References Allowed 5
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