University of California, Santa Barbara
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Postdoctoral Researcher -- Foundations of a Resilient Microbiome (2 Positions) University of California, Santa Barbara in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Salary range of $71,491-$85,736 annually for a 100% appointment; position duration is two years with the possibility of extension.
Deadline
Jan 8, 2027
Country
United States
University
University of California, Santa Barbara
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About this position
The University of California, Santa Barbara’s California NanoSystems Institute is recruiting two postdoctoral researchers for a project on the foundations of a resilient microbiome. The work is centered on machine learning and computational modeling to identify pathways along the gut-brain axis that connect the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD).
The project is part of the Wellcome Leap FORM initiative and uses a closed-loop research approach that brings together experiments, modeling, and lived experiences. The successful postdoctoral researcher will help develop statistical and dynamical models from metabolomic and metagenomic data generated through experiments at UCSB’s ExFAB BioFoundry for Extreme and Exceptional Fungi, Archea, and Bacteria. The research also includes perturbation studies, dynamic trajectory analysis, and assessment of stability and resilience, linking AI-driven and dynamical models with experimental protocols and outcomes.
The position is embedded in a broad interdisciplinary environment at UCSB. The postdoc will have access to collaborations and resources across the REAL AI initiative, the Departments of Physics, Ecology, Evolution and Marine Biology, Psychology and Brain Sciences, the College of Engineering, and the Koegel Autism Center. The appointment offers scope for creative contributions within a multidisciplinary team working at the interface of computation, biology, and autism-related research.
Funding details
Salary range of $71,491-$85,736 annually for a 100% appointment; position duration is two years with the possibility of extension.
What's required
Applicants must have completed all requirements for a PhD (or equivalent) in Physics, Computer Science, Bioengineering, Ecology, or a related field, except the dissertation, at the time of application, and must hold the PhD by the time of appointment. Preferred qualifications include coding fluency in Python for machine learning and statistical analyses, excellent statistical and/or causal inference skills, experience with modeling and statistical analysis of metagenomic and metabolomic data, a strong background in ecological theory and modeling, experience leading peer-reviewed publications and/or reports, and excellent communication and collaboration skills for multidisciplinary teamwork.
How to apply
Apply through the UC Santa Barbara recruitment portal using the provided application link. Submit a current CV, cover letter, statement of research, and contact information for three references. Applications received by the next review date will receive full consideration.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.