Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology at Kempner Institute for the Study of Natural and Artificial Intelligence – Harvard University | Jobyssey
Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology
Kempner Institute for the Study of Natural and Artificial Intelligence · Harvard University ·
A postdoctoral researcher at Harvard's Kempner Institute applies modern AI/ML methods, particularly deep learning in PyTorch or JAX, to computational neurobiology — modeling neural activity and brain circuits from large-scale recordings and helping develop brain foundation models.
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.
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
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