Exobiology: AI/ML Resource Development and In-situ Life Detection

Exobiology: AI/ML Resource Development and In-situ Life Detection 1 month ago Be among the first 25 applicants Organization National Aeronautics and Space Administration (NASA) Organization National Aeronautics and Space Administration (NASA) Reference Code 0116-NPP-NOV25-ARC-Astrobio How To Apply All applications must be submitted in Zintellect Please visit the NASA Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program () A complete application to the NASA Postdoctoral Program includes: Research proposal Three letters of recommendation Official doctoral transcript documents Application Deadline 11/1/2025 6:00:59 PM Eastern Time Zone Description About the NASA Postdoctoral Program The NASA Postdoctoral Program (NPP) offers unique research opportunities to highly-talented scientists to engage in ongoing NASA research projects at a NASA Center, NASA Headquarters, or at a NASA-affiliated research institute. These one- to three-year fellowships are competitive and are designed to advance NASA's missions in space science, Earth science, aeronautics, space operations, exploration systems, and astrobiology. Description: The effort to understand life in the universe confronts the most complex phenomenon known; exhibiting hierarchical and varied spatial-temporal properties and intricate historical dependencies linked to environments, chemical pathways, and feedback mechanisms. The tools of artificial intelligence (AI) and machine learning (ML) may be uniquely suited to addressing elements of this challenge, especially through application in life detection strategies. We seek an NPMP postdoctoral researcher to work across programmatic and technical projects in these areas. The successful candidate will work with their mentors to drive the development of an online community resource hosted at NASA Ames that provides extensive support and guidance for AI/ML research in astrobiology. This will require excellent skills in coordinating across NASA's data ecosystem, liaising with program officers, creating collaborations, and seeking innovative approaches to address the future AI/ML needs of astrobiology and NASA's science programs. The research component of this NPMP opportunity will contribute to ongoing studies of biomarkers such as lipids and novel techniques in instrumentation applied to concept development work for Mars and broader solar system exploration science. Applicants will have the opportunity to participate in the design and proposal of projects and to work in collaboration to support cross-cutting efforts in astrobiology at NASA Ames. Field of Science: Astrobiology Advisors: Caleb Scharf caleb.a.scharf@ (650) 604-3668 Applications with citizens from Designated Countries will not be accepted at this time, unless they are Legal Permanent Residents of the United States. ?A complete list of Designated Countries can be found at: . ? Eligibility is currently open to: U.S. Citizens; U.S. Lawful Permanent Residents (LPR); Foreign Nationals eligible for an Exchange Visitor J-1 visa status; and, Applicants for LPR, asylees, or refugees in the U.S. at the time of application with 1) a valid EAD card and 2) I-485 or I-589 forms in pending status Questions about this opportunity? Please email npp@ Point of Contact Mikeala Eligibility Requirements Degree: Doctoral Degree. Seniority level Seniority level Internship Employment type Employment type Full-time Job function Job function Other Industries Government Administration Referrals increase your chances of interviewing at ORAU by 2x San Jose, CA $60,000 - $90,000 3 weeks ago Mountain View, CA $77,000 - $110,000 9 hours ago San Jose, CA $135,000 - $150,000 1 week ago Executive Business Partner, Google Cloud Customer Experience Sunnyvale, CA $114,000 - $167,000 1 week ago Mountain View, CA $81,000 - $133,000 2 weeks ago Assistant Director for Career Experiences and Events Santa Clara, CA $101,000 - $163,000 10 hours ago We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr