Schmidt Entities

Schmidt Observatory System Postdoctoral Fellows

Baltimore, MD

Sponsorship not specified$100k-$130kDetected 84 days ago

Machine LearningBudgetingResearchLeadershipCommunicationCollaboration

About the role

Postdoctoral Fellows will form the inaugural cohort of approximately five postdoctoral researchers embedded within the Schmidt Observatory System.
This is a two-year, fixed-term fellowship with a structured third-year renewal based on performance.
These plans will be milestone-driven and delivery-focused, giving Fellows responsibility for defined problem areas while ensuring close alignment with evolving Observatory System needs.

Fellows will develop focused work plans in close collaboration with the Schmidt Observatory System team.
The fellowship is based at Schmidt Sciences, a science philanthropy that plays an active role in the design, development, and scientific use of the observatories it supports.
Support will be available for travel, conference attendance, publications, computing, and access to advanced AI and data resources.
Fellows will be expected to take ownership of well-defined problem areas and drive them from concept through execution to publication.
Design and analysis of adaptive, system-level observing strategies, including scheduling, coordination across facilities, and real-time decision-making.

Technical expertise in a relevant domain (e.g., instrumentation, data systems, simulation, AI/ML, observational astronomy)
Ability to work across disciplines and rigorously connect scientific questions with technical implementation in a fast-paced collaborative environment
Candidates must be a U.S. person (i.e. a citizen of the United States, a permanent resident, or a legal asylee or refugee) OR receive approval from the U.S. Government to work with U.S. export controlled information.

Schmidt Sciences, is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce.

This listing is sourced directly from Schmidt Entities's careers page and normalized into a canonical job model.