Postdoc: ML & Modeling for Gut-Brain Autism Research

UC Santa Barbara; California; On-site; USD 60,000 - 80,000; Full time

Job summary

UC Santa Barbara's California NanoSystems Institute (CNSI) invites applications for two postdoctoral research positions in machine learning and computational modeling focused on identifying pathways involving the gut-brain axis that link the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD).

This project is part of the Wellcome Leap FORM initiative and involves close collaboration between experiments, modeling, and lived experiences (Wellcome Leap Awards).

Qualifications

• PhD completed (or equivalent) in physics, CS, bioengineering, ecology, or a related field by application.
• Experience with machine learning and computational modeling in biological contexts.
• Interest in gut-brain axis and infant microbiome research.

Responsibilities

• Develop statistical and dynamical models based on metabolomic and metagenomic data.
• Collaborate across experiments, modeling, and lived experiences in a closed-loop format.
• Contribute to AI-powered digital twins and related computational work.

Skills

Machine learning

Computational modeling

Dynamical systems

Education

PhD completed in Physics, Computer Science, Bioengineering, Ecology, or related field

Job description

UC Santa Barbara's California NanoSystems Institute (CNSI) invites applications for two postdoctoral research positions in machine learning and computational modeling focused on identifying pathways involving the gut-brain axis that link the infant microbiome with neurodevelopment and Autism Spectrum Disorder (ASD).

This project is part of the Wellcome Leap FORM initiative and involves close collaboration between experiments, modeling, and lived experiences (Wellcome Leap Awards).