Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology
Harvard University’s interdisciplinary institute for research on intelligence in natural and artificial systems.
Funding history
About Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute brings together Harvard researchers, engineers, and students to study biological and machine intelligence, advance AI technologies, train researchers, and operate dedicated AI computing infrastructure.
Skills
About the Role
You will conduct research under the general supervision of Kempner faculty. You will apply modern AI and machine-learning methods to computational neurobiology, neural activity, and brain circuits. You may help develop brain foundation models that predict neural activity patterns from large-scale, multi-regional recordings.
Requirements
- PhD in a related quantitative field
- PhD received on or after September 15, 2024, or completion of PhD requirements by October 15, 2026
- Modern AI/ML
- Deep learning
- PyTorch or JAX
- Publication record 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 general supervision of Kempner faculty
- Apply AI/ML methods to computational neurobiology
- Model brain circuits and neural activity from large-scale recordings
- Help develop brain foundation models
Benefits
- Benefits-eligible appointment
Hiring Process
Short video presentation reviewing past work, followed by a Zoom interview for a subset of candidates.