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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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Search similar grants →Key questions and narrative sections extracted from the solicitation.
CV
2-page research proposal detailing the scientific problem and role of AI
Two letters of recommendation
Based on current listing details, eligibility includes: Applicants must have completed their Ph.D. or be on track to complete it by September 2026. Backgrounds in biology, neuroscience, bioengineering, biochemistry, or related fields with strong quantitative skills, OR background in AI/ML with interest in applying it to neuroscience. International applicants welcome; U.S. visa support available. Applications require CV, 2-page research proposal detailing the scientific problem and role of AI, and two letters of recommendation. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $125,000 annual stipend 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.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
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Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
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The Wellcome Trust Generative AI for Anxiety, Depression and Psychosis program funds fundamental research on using generative AI to improve the measurement or treatment of three major mental health conditions: anxiety disorders, depression, and psychotic disorders. Awards of up to £3 million support research teams of 2-8 members with expertise spanning mental health research, generative AI, AI ethics, and lived experience of mental health conditions. The program supports two main research directions: (1) creating or improving generative models specifically for mental health measurement and intervention, and (2) developing evidence on how humans, AI systems, and clinicians can collaborate safely and efficiently in mental health contexts. Notably, this program funds fundamental research only and explicitly excludes real-world deployment of AI tools. The program includes an accelerator stage where teams refine proposals before submitting full funded research applications. This represents one of the largest dedicated investments in AI for mental health research globally, reflecting Wellcome's strategic priority in understanding and treating mental health conditions.
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