Fellow in AI/ML for NeuroAI and Computational Neurobiology

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.

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

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