Fellow in AI/ML for NeuroAI and Computational Neurobiology
Harvard’s interdisciplinary research institute studying intelligence in natural and artificial systems.
Funding history
About Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute is a Harvard University interdisciplinary initiative that brings together students, scientists, and engineers to study biological and machine intelligence, advance AI research, and develop related technologies. It operates AI computing infrastructure, research programs, education programs, and open-science resources.
Skills
About the Role
You will conduct research under the direction of a Kempner Institute investigator. You will apply modern AI and machine-learning methods to computational neurobiology, neural activity, and brain circuits. You will help develop brain foundation models using large-scale, multi-regional recordings.
Requirements
- Bachelor’s or master’s degree in a related quantitative field
- Modern AI/ML
- Deep learning
- PyTorch or JAX
- Research publications or substantial open-source research contributions
- Machine learning model implementation, training, evaluation, or fine-tuning
- Python
- Research code maintenance
- AI-assisted and agentic coding tools
- Computational neurobiology, neural data analysis, or neural activity modeling
- Technical communication
Responsibilities
- Conduct research under the direction of a Kempner Institute investigator
- Develop brain foundation models
- Model neural activity and brain circuits from large-scale recordings
- Apply AI/ML methods to neuroscience and computational biology
Hiring Process
Short video presentation reviewing past work, followed by a Zoom interview for a subset of candidates.