Research Internship, AI for Neuroscience

Required

• Are you passionate about AI, and its potential to help accelerate science?
• Ai2's Asta Project (https://allenai.org/asta) aims to rapidly advance science, developing solutions in the areas of AI research assistants for scientists, literature understanding and synthesis, end-to-end discovery, human-AI interaction and intelligent interfaces, data-driven discovery, agents that can learn over time, methods for training agentic models, and the evaluation and benchmarking of agents.
• Part of this work is conducted within a scientific domain rather than alongside one. We collaborate directly with research scientists at the Allen Institute and elsewhere on their primary data, including electrophysiology, single-cell, and spatial transcriptomic measurements of human brain tissue. Our aim is to build agentic workflows that meet the standards of rigorous scientific work and to push the tools we already have to their full potential in support of research that is only now possible with AI. Doing this well depends on knowing when an AI-generated hypothesis or causal claim is scientifically sound, and this calls for researchers who can evaluate such a claim against the underlying biology. We welcome applications from candidates trained in neuroscience or another life science who bring strong computational skills to that training.
• We are seeking ambitious researchers with a background in biology or neuroscience, prepared to take on problems at the frontier of AI for science. You will be working on a neuroscience project, helping to find ways to use and advance asta tools to rapidly advance neuroscience research.
• Topics you can explore during the internship:
• Agentic planning, reasoning, learning, and evaluation.
• AI workflows for scientific discovery.
• Data-driven discovery (integrating your own or publicly available sequencing or electrophysiology dataset with AI workflows)
• Evaluation of AI-generated hypotheses, causal claims, and analyses against experimental data and domain expertise.
• AI workflows incorporating scientific literature and automated hypothesis generation and testing.
• See our publications for examples of our work.
• https://allenai.org/papers?tags=Asta