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FutureHouse's 2026 AI-for-Science Independent Postdoctoral Fellowship supports recent PhD graduates pursuing independent, AI-accelerated research in biology and related fields. Fellows gain access to FutureHouse's AI technologies, wet lab facilities, engineering support, and compute resources, plus mentorship from the FutureHouse team and an academic co-advisor network.
Focus areas include large-scale analyses of gene regulation and omics datasets, protein-engineering agents for screening workflows, AI-enabled tools for proteomics and metagenomics methods, and neuroscience research.
Through partnership with The Kavli Foundation, one fellowship position in the 2026 cohort is designated for neuroscience research to be conducted with a Kavli Institute member advisor or co-advisor, advancing AI-enabled discoveries in neuroscience. Fellows must be able to work onsite in San Francisco for at least the first month. International applicants welcome with US visa support available.
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Search similar grants →Based on current listing details, eligibility includes: PhD completed or on track to complete by September 2026. Strong background in biology, neuroscience, bioengineering, biochemistry (with quantitative skills) OR AI/ML applied to science. Independent research ability with clear research vision. Ability to work onsite in San Francisco for minimum first month. International applicants welcome; US visa support available. For the Kavli-sponsored neuroscience position, the research must be conducted in collaboration with an advisor or co-advisor who is a member of a Kavli Institute. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates Annual stipend of $125,000 USD plus benefits and conference travel allowance. One-year fellowship (September 2026 to September 2027) with possible one-year extension. FutureHouse pays 100% of fellow stipends. Includes access to FutureHouse AI technologies, wet lab facilities, engineering support, and compute resources. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is February 13, 2026. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
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The Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
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