
2026 AI-for-Science
Independent Postdoctoral
Fellowship Program
The FutureHouse Fellowship program supports recent PhD graduates who are ready to chart their own scientific path at the intersection of AI and science. As a Fellow, you will have full access to the technologies and infrastructure we have built at FutureHouse and our for-profit spinout Edison Scientific, compute resources, our wet lab and dedicated engineering support to make new discoveries in a scientific field of your choice. Fellows are also encouraged to tap into external AI tools, agents, and ecosystems.
We are looking for independent thinkers with a clear scientific vision and the ability to lead an AI-accelerated research agenda.
Apply here
For our second cohort, we are excited to announce a new partner-sponsored Fellowship:
Through partnership with The Kavli Foundation, one Fellow in the 2026 fellowship cohort will be supported to advance discoveries in the field of neuroscience. A Kavli-supported FutureHouse Fellow will pursue an independent, AI-enabled research program in collaboration with an advisor or co-advisor who is a member of a Kavli Institute. This fellowship will support a bold, curiosity-driven project in neuroscience, from molecular and cellular mechanisms to systems-level understanding of the brain. The Kavli-supported Fellow will enjoy full participation and collaboration with other Fellows, and access to FutureHouse Fellowship program resources.
What do Fellows Get?
Our mission is to build an AI scientist, or AI systems, that can automate scientific research and accelerate the pace of discovery. Fellows will have access to FutureHouse resources, including:
- $125K annual stipend + benefits.
- Dedicated software engineering support.
- Training and instruction on building and deploying AI agents.
- Compute and research resources.
- Access to our general-purpose wet lab.
- AI research mentorship and exposure to our engineering team.
- Access to a growing AI-for-Science community of practice.
- Access to the full Edison Scientific platform including Kosmos, an AI Scientist.
About the Fellowship
Fellows are expected to push the boundaries of AI-accelerated discovery in biology, biochemistry, and related fields. The goal of this Fellowship is to enable brilliant early career scientists to integrate AI Scientists into their research workflows, and to apply them to making discoveries. We expect Fellows to use AI tools to make significant progress towards high impact findings and publications in their fields.
What kinds of projects are we looking for?
We expect that applicants have a specific scientific problem they are trying to solve, and can articulate why AI is crucial for the project. For example,
- Using AI to run large-scale analyses to guide understanding of gene regulation or running thousands of analyses across large omics datasets to identify trends and patterns in a specific disease.
- Designing a protein-engineering agent for high-throughput screening workflows.
- Developing new tools—for example, an AI-enabled proteomics or metagenomics method.
Learn more about projects we selected in our first cohort.
Academic Co-advisors
We strongly encourage—though do not require—Fellows to work with one or more academic co-advisors who can support their scientific agenda. When proposing an academic co-advisor, their support letter must confirm willingness to collaborate and to provide a visiting appointment granting access to their institution and lab.
FutureHouse, a 501(c)(3) nonprofit research organization, pays 100% of Fellows’ stipends. No pre-existing institutional agreement is required. The co-advisor’s academic institution retains all project-related intellectual property.
These academics are willing to serve as co-advisors for Fellows:
- Adam Boxer (UCSF)
- Alex Pollen (UCSF, Kavli Institute for Fundamental Neuroscience)
- Aly Azeem Khan (University of Chicago)
- Anders Sejr Hansen (MIT)
- Andreas Schaefer (The Francis Crick Institute)
- Angeliki Louvi (Yale, Kavli Institute for Neuroscience)
- Anima Anandkumar (Caltech)
- Anthony Gitter (University of Wisconsin, Madison)
- Armita Nourmohammad (Yale)
- Bradley Voytek (UCSD, Kavli Institute for Brain and Mind)
- Brian Hie (Stanford)
- Brian Liau (Harvard)
- Caroline Uhler (The Broad Institute)
- Charlie Swanton (Francis Crick Institute)
- Christina Curtis (Stanford)
- Connor Coley (MIT)
- Debora Marks (Harvard)
- Ed Boyden (MIT)
- Ellen Zhong (Princeton University)
- Emilia Favuzzi (Yale, Kavli Institute for Neuroscience)
- Evan Macosko (The Broad Institute)
- Fei Chen (The Broad Institute)
- Frances Arnold (Caltech)
- Genevieve Stein-O’Brien (Johns Hopkins, Kavli Neuroscience Discovery Institute)
- Giovanni Traverso (MIT)
- Grant M. Rotskoff (Stanford)
- Hannah Wayment-Steele (U of Wisconsin, Madison)
- Hattie Chung (Yale)
- Huan Sun (The Ohio State University)
- James Fraser (UCSF)
- Jason Buenrostro (Harvard)
- Jennifer Yokoyama (UCSF)
- Jesse Bloom (Fred Hutchinson Cancer Center)
- Jesse Engreitz (Stanford)
- Kamila Jozwik (University of Cambridge)
- Kristen Brennand (Yale, Kavli Institute for Neuroscience)
- Loyal Goff (Johns Hopkins, Kavli Neuroscience Discovery Institute)
- María Rodríguez Martínez (Yale)
- Marinka Zitnik (Harvard)
- Mikhail Shapiro (Caltech, Kavli Nanoscience Institute)
- Nicola Allen (Salk Institute, Kavli Institute for Brain and Mind)
- Omar Abudayyeh & Jonathan Gootenberg (Harvard)
- Pardis Sabeti (The Broad Institute)
- Pedro Ballester (Imperial)
- Pranam Chatterjee (UPenn)
- Pratyush Tiwary (University of Maryland)
- Randy Bateman (Washington University St. Louis)
- Reza Kalhor (Johns Hopkins, Kavli Neuroscience Discovery Institute)
- Richard Murray (Caltech)
- Rui Chang (Yale, Kavli Institute for Neuroscience)
- Ryan Flynn (Harvard)
- Sanjay Srivatsan (Fred Hutchinson Cancer Center)
- Scarlett Gomez (UCSF)
- Sergey Ovchinnikov (MIT)
- Seth Blackshaw (Johns Hopkins, Kavli Neuroscience Discovery Institute)
- Shriya Srinivasan (Harvard)
- Stephanie Wankowicz (Vanderbilt University)
- Sukrit Silas (Gladstone Institutes)
- Venkat Viswanathan (University of Michigan)
- Vijay Ramani (Gladstone Institutes / UCSF)
- Vijay Sankaran (Harvard)
- Will Allen (Stanford)
- William Greenleaf (Stanford)
- Silvio Gutkind (UCSD)
- Xiaojie Qiu (Stanford)
- Yishi Jin (UCSD, Kavli Institute for Brain and Mind)
Fellows will be employed by and paid by FutureHouse. As far as we are aware, co-host academic institutions will not need budget to host Fellows. FutureHouse pays 100% of Fellows' stipends. This arrangement should not require an advance agreement between FutureHouse and the proposed academic institution. We expect intellectual property to be shared between FutureHouse and the academic institution in question according to a collaboration agreement that will be negotiated subsequent to Fellow selection and prior to the Fellowship starting.
If your co-advisor or their institution has any questions, they can reach out to us at fellows@futurehouse.org