Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology
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Kempner Institute for the Study of Natural and Artificial Intelligence Postdoctoral AI Researcher in AI/ML for NeuroAI and Computational Neurobiology
Description
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
- Technical communication
Benefits
- Benefits-eligible appointment